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Duplicate from openaccess-ai-collective/wizard-mega-ggml

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.gitattributes ADDED
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.bz2 filter=lfs diff=lfs merge=lfs -text
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+ *.ckpt filter=lfs diff=lfs merge=lfs -text
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+ *.ftz filter=lfs diff=lfs merge=lfs -text
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+ *.gz filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ *.msgpack filter=lfs diff=lfs merge=lfs -text
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+ *.npy filter=lfs diff=lfs merge=lfs -text
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+ *.npz filter=lfs diff=lfs merge=lfs -text
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+ *.onnx filter=lfs diff=lfs merge=lfs -text
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+ *.ot filter=lfs diff=lfs merge=lfs -text
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+ *.parquet filter=lfs diff=lfs merge=lfs -text
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+ *.pb filter=lfs diff=lfs merge=lfs -text
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+ *.pickle filter=lfs diff=lfs merge=lfs -text
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+ *.pkl filter=lfs diff=lfs merge=lfs -text
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+ *.pt filter=lfs diff=lfs merge=lfs -text
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+ *.pth filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *.tgz filter=lfs diff=lfs merge=lfs -text
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+ *.wasm filter=lfs diff=lfs merge=lfs -text
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+ *.xz filter=lfs diff=lfs merge=lfs -text
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+ *.zip filter=lfs diff=lfs merge=lfs -text
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+ *.zst filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
.github/workflows/build-llama-cpp-wheel.yml ADDED
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+ name: Build wheel in Docker
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+
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+ on:
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+ push:
5
+ branches:
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+ - main
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+ paths:
8
+ - 'Dockerfile-llama-cpp-wheel'
9
+ release:
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+ types: [published]
11
+
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+ jobs:
13
+ build:
14
+ runs-on: self-hosted
15
+ permissions:
16
+ contents: write
17
+ steps:
18
+ - name: Checkout code
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+ uses: actions/checkout@v2
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+
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+ - name: Build Docker image
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+ run: docker build . -t artifact-builder -f Dockerfile-llama-cpp-wheel
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+
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+ - name: Run Docker container
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+ run: docker run --name my-artifact-builder artifact-builder
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+
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+ - name: Copy GPU & CPU artifact from Docker container
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+ run: |
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+ docker cp my-artifact-builder:/build/dists/llama_cpp_python-gpu-0.1.50-cp38-cp38-linux_x86_64.whl ./llama_cpp_python-gpu-0.1.50-cp38-cp38-linux_x86_64.whl
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+ docker cp my-artifact-builder:/build/dists/llama_cpp_python-cpu-0.1.50-cp38-cp38-linux_x86_64.whl ./llama_cpp_python-cpu-0.1.50-cp38-cp38-linux_x86_64.whl
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+
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+ - name: Upload artifacts
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+ uses: actions/upload-artifact@v3
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+ with:
35
+ name: wheels
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+ path: |
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+ *.whl
38
+
39
+ release:
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+ needs: build
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+ runs-on: self-hosted
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+ if: github.event_name == 'release'
43
+ permissions:
44
+ contents: write
45
+ steps:
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+ - name: Checkout code
47
+ uses: actions/checkout@v2
48
+
49
+ - name: Download artifacts
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+ uses: actions/download-artifact@v3
51
+ with:
52
+ name: wheels
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+
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+ - name: Release
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+ uses: softprops/action-gh-release@v1
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+ with:
57
+ files: |
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+ *.whl
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+ token: ${{ secrets.GITHUB_TOKEN }}
.gitignore ADDED
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+ .idea
Dockerfile-llama-cpp-wheel ADDED
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+ FROM nvidia/cuda:11.3.1-cudnn8-devel-ubuntu18.04
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+
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+ ARG LLAMA_CPP_VERSION="0.1.50"
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+ ARG CMAKE_VERSION=3.26
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+ ARG CMAKE_VERSION_PATCH=3.26.3
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+ ARG CMAKE_OS=linux
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+ ARG DEBIAN_FRONTEND=noninteractive
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+ ENV TZ=UTC
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+
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+ RUN apt-get update && \
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+ apt-get install --no-install-recommends -y \
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+ curl git vim build-essential software-properties-common python3 python3-pip python3-dev python3-venv \
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+ libffi-dev libncurses5-dev zlib1g zlib1g-dev libreadline-dev libbz2-dev libsqlite3-dev libssl-dev \
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+ libblas-dev liblapack-dev libopenblas-dev cmake && \
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+ add-apt-repository ppa:ubuntu-toolchain-r/test && \
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+ apt-get update && \
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+ apt install --no-install-recommends -y gcc-10 g++-10 && \
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+ update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-10 100 --slave /usr/bin/g++ g++ /usr/bin/g++-10 --slave /usr/bin/gcov gcov /usr/bin/gcov-10 && \
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+ rm -rf /var/lib/apt/lists/* && \
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+ pip3 install scikit-build
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+ RUN curl -L https://cmake.org/files/v$CMAKE_VERSION/cmake-$CMAKE_VERSION_PATCH-$CMAKE_OS-x86_64.sh -o /tmp/cmake-$CMAKE_VERSION_PATCH-$CMAKE_OS-x86_64.sh && \
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+ mkdir /opt/cmake && \
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+ sh /tmp/cmake-$CMAKE_VERSION_PATCH-$CMAKE_OS-x86_64.sh --skip-license --prefix=/opt/cmake && \
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+ ln -s /opt/cmake/bin/cmake /usr/local/bin/cmake
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+
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+ RUN useradd -m -u 1000 appuser
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+
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+ WORKDIR /build
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+ RUN chown appuser:appuser /build
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+ USER appuser
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+
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+ ENV HOME /home/appuser
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+ ENV PYENV_ROOT $HOME/.pyenv
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+ ENV PATH $PYENV_ROOT/shims:$PYENV_ROOT/bin:$PATH
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+
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+ RUN git clone --depth 1 --branch v$LLAMA_CPP_VERSION https://github.com/abetlen/llama-cpp-python.git /build
37
+ RUN git clone https://github.com/ggerganov/llama.cpp.git /build/vendor/llama.cpp
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+ RUN curl https://pyenv.run | bash
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+
40
+ RUN pyenv install 3.8.9 && \
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+ pyenv global 3.8.9 && \
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+ pyenv rehash && \
43
+ pip install --no-cache-dir --upgrade pip==22.3.1 setuptools wheel && \
44
+ pip install --no-cache-dir datasets "huggingface-hub>=0.12.1" "protobuf<4" "click<8.1" "scikit-build" && \
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+ CMAKE_ARGS="-DLLAMA_CUBLAS=on -DLLAMA_OPENBLAS=off" FORCE_CMAKE=1 python3 setup.py bdist_wheel && \
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+ mkdir /build/dists/ && \
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+ cp dist/llama_cpp_python-${LLAMA_CPP_VERSION}-cp38-cp38-linux_x86_64.whl dists/llama_cpp_python-gpu-${LLAMA_CPP_VERSION}-cp38-cp38-linux_x86_64.whl && \
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+ CMAKE_ARGS="-DLLAMA_CUBLAS=off -DLLAMA_OPENBLAS=off" FORCE_CMAKE=1 python3 setup.py bdist_wheel && \
49
+ cp dist/llama_cpp_python-${LLAMA_CPP_VERSION}-cp38-cp38-linux_x86_64.whl dists/llama_cpp_python-cpu-${LLAMA_CPP_VERSION}-cp38-cp38-linux_x86_64.whl && \
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+ ls -l /build/dists/
README.md ADDED
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+ ---
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+ title: Wizard Mega GGML
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+ emoji: 🏃
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+ colorFrom: blue
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+ colorTo: gray
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+ sdk: gradio
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+ sdk_version: 3.29.0
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+ app_file: tabbed.py
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+ pinned: false
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+ duplicated_from: openaccess-ai-collective/wizard-mega-ggml
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+ ---
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+
13
+ # GGML UI Inference w/ HuggingFace Spaces
14
+
15
+ - Fork this space to use your own GGML models. Simply update the [./config.yml](./config.yml)
16
+ - Contribute at [https://github.com/OpenAccess-AI-Collective/ggml-webui](https://github.com/OpenAccess-AI-Collective/ggml-webui)
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+
18
+ Brought to you by [OpenAccess AI Collective](https://github.com/OpenAccess-AI-Collective)
config.yml ADDED
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1
+ ---
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+ repo: TheBloke/wizard-mega-13B-GGML
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+ file: wizard-mega-13B.ggml.q5_1.bin
4
+ llama_cpp:
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+ n_ctx: 2048
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+ n_gpu_layers: 40 # llama 13b has 40 layers
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+ chat:
8
+ stop:
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+ - "</s>"
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+ - "<unk>"
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+ - "### USER:"
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+ - "USER:"
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+ queue:
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+ max_size: 16
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+ concurrency_count: 1 # leave this at 1, llama-cpp-python doesn't handle concurrent requests and will crash the entire app
requirements.txt ADDED
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+ --extra-index-url https://pypi.ngc.nvidia.com
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+ nvidia-cuda-runtime
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+ nvidia-cublas
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+ llama-cpp-python @ https://github.com/OpenAccess-AI-Collective/ggml-webui/releases/download/v0.1.50-rc3/llama_cpp_python-gpu-0.1.50-cp38-cp38-linux_x86_64.whl
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+ pyyaml
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+ torch
tabbed.py ADDED
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1
+ import gradio as gr
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+ import yaml
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+ from huggingface_hub import hf_hub_download
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+ from huggingface_hub.utils import LocalEntryNotFoundError
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+ from llama_cpp import Llama
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+
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+ with open("./config.yml", "r") as f:
8
+ config = yaml.load(f, Loader=yaml.Loader)
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+ while True:
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+ try:
11
+ fp = hf_hub_download(
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+ repo_id=config["repo"], filename=config["file"],
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+ )
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+ break
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+ except LocalEntryNotFoundError as e:
16
+ if "Connection error" in str(e):
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+ print(str(e) + ", retrying...")
18
+ else:
19
+ raise(e)
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+
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+ llm = Llama(model_path=fp, **config["llama_cpp"])
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+
23
+
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+ def user(message, history):
25
+ history = history or []
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+ # Append the user's message to the conversation history
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+ history.append([message, ""])
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+ return "", history
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+
30
+
31
+ def chat(history, system_message, max_tokens, temperature, top_p, top_k, repeat_penalty):
32
+ history = history or []
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+
34
+ messages = system_message + \
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+ "\n".join(["\n".join(["USER: "+item[0], "ASSISTANT: "+item[1]])
36
+ for item in history])
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+
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+ # remove last space from assistant
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+ messages = messages[:-1]
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+
41
+ history[-1][1] = ""
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+ for output in llm(
43
+ messages,
44
+ echo=False,
45
+ stream=True,
46
+ max_tokens=max_tokens,
47
+ temperature=temperature,
48
+ top_p=top_p,
49
+ top_k=top_k,
50
+ repeat_penalty=repeat_penalty,
51
+ **config['chat']
52
+ ):
53
+ answer = output['choices'][0]['text']
54
+ print(output['choices'])
55
+ history[-1][1] += answer
56
+ # stream the response
57
+ yield history, history
58
+
59
+
60
+ def clear_chat(chat_history_state, chat_message):
61
+ chat_history_state = []
62
+ chat_message = ''
63
+ return chat_history_state, chat_message
64
+
65
+
66
+ start_message = ""
67
+
68
+
69
+ def generate_text_instruct(input_text):
70
+ response = ""
71
+ for output in llm(f"### Instruction:\n{input_text}\n\n### Response:\n", echo=False, stream=True, **config['chat']):
72
+ answer = output['choices'][0]['text']
73
+ response += answer
74
+ yield response
75
+
76
+
77
+ instruct_interface = gr.Interface(
78
+ fn=generate_text_instruct,
79
+ inputs=gr.inputs.Textbox(lines= 10, label="Enter your input text"),
80
+ outputs=gr.outputs.Textbox(label="Output text"),
81
+ )
82
+
83
+ with gr.Blocks() as demo:
84
+ with gr.Row():
85
+ with gr.Column():
86
+ gr.Markdown(f"""
87
+ ### brought to you by OpenAccess AI Collective
88
+ - Unquantized model available at https://huggingface.co/openaccess-ai-collective/wizard-mega-13b
89
+ - This is the [{config["repo"]}](https://huggingface.co/{config["repo"]}) model file [{config["file"]}](https://huggingface.co/{config["repo"]}/blob/main/{config["file"]})
90
+ - This Space uses GGML with GPU support, so it can quickly run larger models on smaller GPUs & VRAM.
91
+ - This is running on a smaller, shared GPU, so it may take a few seconds to respond.
92
+ - [Duplicate the Space](https://huggingface.co/spaces/openaccess-ai-collective/ggml-ui?duplicate=true) to skip the queue and run in a private space or to use your own GGML models.
93
+ - When using your own models, simply update the [config.yml](https://huggingface.co/spaces/openaccess-ai-collective/ggml-ui/blob/main/config.yml)
94
+ - Contribute at [https://github.com/OpenAccess-AI-Collective/ggml-webui](https://github.com/OpenAccess-AI-Collective/ggml-webui)
95
+ - Many thanks to [TheBloke](https://huggingface.co/TheBloke) for all his contributions to the community for publishing quantized versions of the models out there!
96
+ """)
97
+ with gr.Tab("Instruct"):
98
+ gr.Markdown("# GGML Spaces Instruct Demo")
99
+ instruct_interface.render()
100
+
101
+ with gr.Tab("Chatbot"):
102
+ gr.Markdown("# GGML Spaces Chatbot Demo")
103
+ chatbot = gr.Chatbot()
104
+ with gr.Row():
105
+ message = gr.Textbox(
106
+ label="What do you want to chat about?",
107
+ placeholder="Ask me anything.",
108
+ lines=1,
109
+ )
110
+ with gr.Row():
111
+ submit = gr.Button(value="Send message", variant="secondary").style(full_width=True)
112
+ clear = gr.Button(value="New topic", variant="secondary").style(full_width=False)
113
+ stop = gr.Button(value="Stop", variant="secondary").style(full_width=False)
114
+ with gr.Row():
115
+ with gr.Column():
116
+ max_tokens = gr.Slider(20, 500, label="Max Tokens", step=20, value=300)
117
+ temperature = gr.Slider(0.2, 2.0, label="Temperature", step=0.1, value=0.8)
118
+ top_p = gr.Slider(0.0, 1.0, label="Top P", step=0.05, value=0.95)
119
+ top_k = gr.Slider(0, 100, label="Top K", step=1, value=40)
120
+ repeat_penalty = gr.Slider(0.0, 2.0, label="Repetition Penalty", step=0.1, value=1.1)
121
+
122
+ system_msg = gr.Textbox(
123
+ start_message, label="System Message", interactive=False, visible=False)
124
+
125
+ chat_history_state = gr.State()
126
+ clear.click(clear_chat, inputs=[chat_history_state, message], outputs=[chat_history_state, message], queue=False)
127
+ clear.click(lambda: None, None, chatbot, queue=False)
128
+
129
+ submit_click_event = submit.click(
130
+ fn=user, inputs=[message, chat_history_state], outputs=[message, chat_history_state], queue=True
131
+ ).then(
132
+ fn=chat, inputs=[chat_history_state, system_msg, max_tokens, temperature, top_p, top_k, repeat_penalty], outputs=[chatbot, chat_history_state], queue=True
133
+ )
134
+ message_submit_event = message.submit(
135
+ fn=user, inputs=[message, chat_history_state], outputs=[message, chat_history_state], queue=True
136
+ ).then(
137
+ fn=chat, inputs=[chat_history_state, system_msg, max_tokens, temperature, top_p, top_k, repeat_penalty], outputs=[chatbot, chat_history_state], queue=True
138
+ )
139
+ stop.click(fn=None, inputs=None, outputs=None, cancels=[submit_click_event, message_submit_event], queue=False)
140
+
141
+ demo.queue(**config["queue"]).launch(debug=True, server_name="0.0.0.0", server_port=7860)