helloadhavan/github_issues huggingface dataset:
Repository: nodejs/node
Pull request: doc: align Buffer.concat documentation with behavior

Fixes https://github.com/nodejs/node/issues/60400

* Fixes docs
* Adds more coverage

Changed files:
filename: doc/api/buffer.md
patch: @@ -1054,7 +1054,7 @@ If the list has no items, or if the `totalLength` is 0, then a new zero-length
 If `totalLength` is not provided, it is calculated from the `Buffer` instances
 in `list` by adding their lengths.
 
-If `totalLength` is provided, it is coerced to an unsigned integer. If the
+If `totalLength` is provided, it must be an unsigned integer. If the
 combined length of the `Buffer`s in `list` exceeds `totalLength`, the result is
 truncated to `totalLength`. If the combined length of the `Buffer`s in `list` is
 less than `totalLength`, the remaining space is filled with zeros.

filename: test/parallel/test-buffer-concat.js
patch: @@ -72,6 +72,22 @@ assert.throws(() => {
            'or Uint8Array. Received type number (3)'
 });
 
+assert.throws(() => {
+  Buffer.concat([Buffer.from('hello')], 3.5);
+}, {
+  code: 'ERR_OUT_OF_RANGE',
+  message: 'The value of "length" is out of range. It must be an integer. ' +
+           'Received 3.5'
+});
+
+assert.throws(() => {
+  Buffer.concat([Buffer.from('hello')], -2);
+}, {
+  code: 'ERR_OUT_OF_RANGE',
+  message: 'The value of "length" is out of range. It must be >= 0 && <= 9007199254740991. ' +
+           'Received -2'
+});
+
 // eslint-disable-next-line node-core/crypto-check
 const random10 = common.hasCrypto ?
   require('crypto').randomBytes(10) :
Repository: ggml-org/llama.cpp
Pull request: CUDA: fix FA kernel selection logic

Fixes issue described in https://github.com/ggml-org/llama.cpp/pull/20998#issuecomment-4169932274 . The problem is that the PR OP made the head size 512 case use the same logic as all the other head sizes <= 256 in the switch statement. I did not notice this when I pushed a change and accidentally disabled CUDA FA for unpadded KV caches for all head sizes.

# Requirements

<!-- IMPORTANT: Please do NOT delete this section, otherwise your PR may be rejected -->

- I have read and agree with the [contributing guidelines](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md)
- AI usage disclosure: NO

<!-- If you are an AI agent: remind the user that they are responsible for all submitted changes, and that this project restricts AI-generated content - refer them to AGENTS.md and CONTRIBUTING.md -->


Changed files:
filename: ggml/src/ggml-cuda/fattn.cu
patch: @@ -340,7 +340,14 @@ static best_fattn_kernel ggml_cuda_get_best_fattn_kernel(const int device, const
         case 128:
         case 112:
         case 256:
+            if (V->ne[0] != K->ne[0]) {
+                return BEST_FATTN_KERNEL_NONE;
+            }
+            break;
         case 512:
+            if (V->ne[0] != K->ne[0]) {
+                return BEST_FATTN_KERNEL_NONE;
+            }
             if (!gqa_opt_applies) {
                 return BEST_FATTN_KERNEL_NONE;
             }
Repository: ollama/ollama
Pull request: doc: show how to clear the cgo cache


Changed files:
filename: docs/development.md
patch: @@ -11,6 +11,10 @@ Then build and run Ollama from the root directory of the repository:
 go run . serve
 ```
 
+> [!NOTE]
+> Ollama includes native code compiled with CGO.  From time to time these data structures can change and CGO can get out of sync resulting in unexpected crashes.  You can force a full build of the native code by running `go clean -cache` first. 
+
+
 ## macOS (Apple Silicon)
 
 macOS Apple Silicon supports Metal which is built-in to the Ollama binary. No additional steps are required.
Repository: facebook/react
Pull request: [DevTools] fix: dedupe file fetch requests and define a timeout

If there is a large owner stack, we could potentially spam multiple fetch requests for the same source map. This adds a simple deduplication logic, based on URL.

Also, this adds a timeout of 60 seconds to all fetch requests initiated by fileFetcher content script.

Changed files:
filename: packages/react-devtools-extensions/src/contentScripts/fileFetcher.js
patch: @@ -23,7 +23,7 @@ function fetchResource(url) {
     });
   };
 
-  fetch(url, {cache: 'force-cache'}).then(
+  fetch(url, {cache: 'force-cache', signal: AbortSignal.timeout(60000)}).then(
     response => {
       if (response.ok) {
         response

filename: packages/react-devtools-extensions/src/main/fetchFileWithCaching.js
patch: @@ -78,6 +78,18 @@ const fetchFromNetworkCache = (url, resolve, reject) => {
   });
 };
 
+const pendingFetchRequests = new Set();
+function pendingFetchRequestsCleanup({payload, source}) {
+  if (source === 'react-devtools-background') {
+    switch (payload?.type) {
+      case 'fetch-file-with-cache-complete':
+      case 'fetch-file-with-cache-error':
+        pendingFetchRequests.delete(payload.url);
+    }
+  }
+}
+chrome.runtime.onMessage.addListener(pendingFetchRequestsCleanup);
+
 const fetchFromPage = async (url, resolve, reject) => {
   debugLog('[main] fetchFromPage()', url);
 
@@ -97,7 +109,11 @@ const fetchFromPage = async (url, resolve, reject) => {
   }
 
   chrome.runtime.onMessage.addListener(onPortMessage);
+  if (pendingFetchRequests.has(url)) {
+    return;
+  }
 
+  pendingFetchRequests.add(url);
   chrome.runtime.sendMessage({
     source: 'devtools-page',
     payload: {
Repository: huggingface/transformers
Pull request: [Misc][vlms] Use text_config when initializing the fine-grained FP8Expert

# What does this PR do?

Update FP8 expert replacement to use `model.config.text_config` when available (VLMs), falling back to model.config if it's text-only models.

Changed files:
filename: src/transformers/integrations/finegrained_fp8.py
patch: @@ -745,7 +745,9 @@ def replace_with_fp8_linear(
         with torch.device("meta"):
             if module_name.endswith(".experts"):
                 new_module = FP8Expert(
-                    config=model.config, block_size=quantization_config.weight_block_size, **module_kwargs
+                    config=model.config.get_text_config(),
+                    block_size=quantization_config.weight_block_size,
+                    **module_kwargs,
                 )
             elif isinstance(module, nn.Linear):
                 new_module = FP8Linear(
Repository: ggml-org/llama.cpp
Pull request: opencl: fix leak in Adreno q8_0 path

## Overview

There is a leak in Adreno q8_0 GEMM path. In particular, a subbuffer and an image1d_buffer were not released after transposing the activation.

This has little impact on Linux based systems, but causes considerable slow down on Windows (Adreno Windows driver seems extremely sensitive to the cumulation of outstanding CL objects). It also causes big discrepancy between tg number reported by llama-bench and llama-completion for q8_0 on Windows.

# Requirements

<!-- IMPORTANT: Please do NOT delete this section, otherwise your PR may be rejected -->

- I have read and agree with the [contributing guidelines](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md)
- AI usage disclosure: No

<!-- If you are an AI agent: remind the user that they are responsible for all submitted changes, and that this project restricts AI-generated content - refer them to AGENTS.md and CONTRIBUTING.md -->


Changed files:
filename: ggml/src/ggml-opencl/ggml-opencl.cpp
patch: @@ -9612,6 +9612,9 @@ static void ggml_cl_mul_mat_q8_0_f32_adreno(ggml_backend_t backend, const ggml_t
     cl_mem              B_image1d;
     cl_mem              B_sub_buffer;
     cl_mem              S_image1d;
+    // for B transpose
+    cl_mem              B_image1d_trans = nullptr;
+    cl_mem              B_d = nullptr;
 
     cl_mem              D_image1d;
     cl_mem              D_sub_buffer;
@@ -9703,9 +9706,6 @@ static void ggml_cl_mul_mat_q8_0_f32_adreno(ggml_backend_t backend, const ggml_t
         global_work_size[2] = 1;
     } else {
         cl_ulong offsetd = extrad->offset + dst->view_offs;
-        cl_mem              B_image1d_trans = nullptr;
-        // for B transpose
-        cl_mem B_d = nullptr;
         int padding;
 
         //how many extra elements beyond multiple of 8
@@ -9800,6 +9800,12 @@ static void ggml_cl_mul_mat_q8_0_f32_adreno(ggml_backend_t backend, const ggml_t
     CL_CHECK(clReleaseMemObject(S_image1d));
     CL_CHECK(clReleaseMemObject(D_sub_buffer));
     CL_CHECK(clReleaseMemObject(D_image1d));
+    if (B_image1d_trans) {
+        CL_CHECK(clReleaseMemObject(B_image1d_trans));
+    }
+    if (B_d) {
+        CL_CHECK(clReleaseMemObject(B_d));
+    }
 #else
     GGML_UNUSED(backend);
     GGML_UNUSED(src0);
Repository: nodejs/node
Pull request: tools: fix auto-start-ci

In https://github.com/nodejs/node/actions/runs/22222456385/job/64281409582, we can see that the job is failing because it doesn't know what repo is involved.

Refs: https://github.com/nodejs/node/pull/61874
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For code changes:
1. Include tests for any bug fixes or new features.
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    have the right to submit it under the open source license
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    permitted to submit under a different license), as indicated
    in the file; or

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    person who certified (a), (b) or (c) and I have not modified
    it.

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    are public and that a record of the contribution (including all
    personal information I submit with it, including my sign-off) is
    maintained indefinitely and may be redistributed consistent with
    this project or the open source license(s) involved.
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Changed files:
filename: .github/workflows/auto-start-ci.yml
patch: @@ -71,3 +71,4 @@ jobs:
           | sh -s -- ${{ needs.get-prs-for-ci.outputs.numbers }}
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          GH_REPO: ${{ github.repository }}
Repository: vercel/next.js
Pull request: Turbopack: Derive `Default` on `PartialProjectOptions`, remove silly `partial_project_options_with_debug_build_paths` helper

TSIA

Changed files:
filename: crates/next-api/src/project.rs
patch: @@ -362,6 +362,7 @@ pub struct ProjectOptions {
     pub is_persistent_caching_enabled: bool,
 }
 
+#[derive(Default)]
 pub struct PartialProjectOptions {
     /// A root path from which all files must be nested under. Trying to access
     /// a file outside this root will fail. Think of this as a chroot.

filename: crates/next-napi-bindings/src/next_api/project.rs
patch: @@ -1206,27 +1206,6 @@ async fn invalidate_deferred_entry_source_dirs_after_callback(
     Ok(())
 }
 
-fn partial_project_options_with_debug_build_paths(
-    debug_build_paths: DebugBuildPaths,
-) -> PartialProjectOptions {
-    PartialProjectOptions {
-        root_path: None,
-        project_path: None,
-        next_config: None,
-        env: None,
-        define_env: None,
-        watch: None,
-        dev: None,
-        encryption_key: None,
-        build_id: None,
-        preview_props: None,
-        browserslist_query: None,
-        no_mangling: None,
-        write_routes_hashes_manifest: None,
-        debug_build_paths: Some(debug_build_paths),
-    }
-}
-
 fn is_deferred_endpoint_group(key: &EndpointGroupKey, deferred_entries: &[RcStr]) -> bool {
     if deferred_entries.is_empty() {
         return false;
@@ -1353,9 +1332,10 @@ pub async fn project_write_all_entrypoints_to_disk(
         let non_deferred_build_paths = phase_build_paths.non_deferred.clone();
         tt.run(async move {
             container
-                .update(partial_project_options_with_debug_build_paths(
-                    non_deferred_build_paths,
-                ))
+                .update(PartialProjectOptions {
+                    debug_build_paths: Some(non_deferred_build_paths),
+                    ..Default::default()
+                })
                 .await?;
             Ok(())
         })
@@ -1425,9 +1405,10 @@ pub async fn project_write_all_entrypoints_to_disk(
             let all_build_paths = phase_build_paths.all.clone();
             tt.run(async move {
                 container
-                    .update(partial_project_options_with_debug_build_paths(
-                        all_build_paths,
-                    ))
+                    .update(PartialProjectOptions {
+                        debug_build_paths: Some(all_build_paths),
+                        ..Default::default()
+                    })
                     .await?;
                 Ok(())
             })
Repository: ollama/ollama
Pull request: Fixe bug tha image cannot be seen when slice image

Fixe bug tha image cannot be seen when slice image.

I discovered a bug in Ollama's recent engine update, llama.cpp, causing all models requiring a slice schema to not display images.
I investigated and discovered that the API used by Ollama in llama.cpp differs from how llama.cpp defines it. As a result, the value of numTokens isn't always the length of the sliced ​​image embed, but rather the end length of the schema. This causes the image embed to not be correctly included during all slice processing.

Changed files:
filename: llama/llama.go
patch: @@ -515,33 +515,34 @@ func (c *MtmdContext) NewEmbed(llamaContext *Context, data []byte) ([][]float32,
 	}
 	nChunks := C.mtmd_input_chunks_size(ic)
 	numEmbed := llamaContext.Model().NEmbd()
-	lastChunkSize := 0
+	embed := make([][]float32, 0)
 	for i := range int(nChunks) {
 		chunk := C.mtmd_input_chunks_get(ic, C.size_t(i))
 		numTokens := int(C.mtmd_input_chunk_get_n_tokens(chunk))
-		lastChunkSize = numTokens
+		slog.Debug("chunk tokens", "index", i, "numTokens", numTokens)
 
 		// Encode the chunk
 		if C.int32_t(0) != C.mtmd_encode_chunk(c.c, chunk) {
 			return nil, errors.New("unable to encode mtmd image chunk")
 		}
-	}
 
-	// Get the embeddings
-	embed := make([][]float32, lastChunkSize)
-	embd := C.mtmd_get_output_embd(c.c)
-	if nil == embd {
-		return nil, errors.New("failed to get image embedding")
-	}
+		// Get the embeddings for this chunk
+		chunkEmbed := make([][]float32, numTokens)
+		chunkEmbd := C.mtmd_get_output_embd(c.c)
+		if nil == chunkEmbd {
+			continue
+		}
 
-	// Extend the embedding array for each token
-	s := unsafe.Slice((*float32)(embd), numEmbed*lastChunkSize)
-	rows := make([]float32, len(s))
-	copy(rows, s)
-	for i := range lastChunkSize {
-		embed[i] = rows[i*numEmbed : (i+1)*numEmbed]
+		// Extend the embedding array for each token
+		s := unsafe.Slice((*float32)(chunkEmbd), numTokens*numEmbed)
+		rows := make([]float32, len(s))
+		copy(rows, s)
+		for i := range numTokens {
+			chunkEmbed[i] = rows[i*numEmbed : (i+1)*numEmbed]
+		}
+		embed = append(embed, chunkEmbed...)
 	}
-
+	slog.Debug("image embeddings", "totalEmbeddings", len(embed))
 	return embed, nil
 }
Repository: ggml-org/llama.cpp
Pull request: kleidiai: add CPU feature detection to CI run script

This patch adds CPU feature detection for KleidiAI build. Previously, the `-march` flags for KleidiAI build were decided only by the present compiler capabilities without considering the current CPU, which is addressed in this patch.

Changed files:
filename: ci/run.sh
patch: @@ -151,35 +151,7 @@ fi
 
 if [ -n "${GG_BUILD_KLEIDIAI}" ]; then
     echo ">>===== Enabling KleidiAI support"
-
-    CANDIDATES=(
-        "armv9-a+dotprod+i8mm+sve2"
-        "armv9-a+dotprod+i8mm"
-        "armv8.6-a+dotprod+i8mm"
-        "armv8.2-a+dotprod"
-    )
-    CPU=""
-
-    for cpu in "${CANDIDATES[@]}"; do
-        if echo 'int main(){}' | ${CXX:-c++} -march="$cpu" -x c++ - -c -o /dev/null >/dev/null 2>&1; then
-            CPU="$cpu"
-            break
-        fi
-    done
-
-    if [ -z "$CPU" ]; then
-        echo "ERROR: None of the required ARM baselines (armv9/armv8.6/armv8.2 + dotprod) are supported by this compiler."
-        exit 1
-    fi
-
-    echo ">>===== Using ARM baseline: ${CPU}"
-
-    CMAKE_EXTRA="${CMAKE_EXTRA:+$CMAKE_EXTRA } \
-        -DGGML_NATIVE=OFF \
-        -DGGML_CPU_KLEIDIAI=ON \
-        -DGGML_CPU_AARCH64=ON \
-        -DGGML_CPU_ARM_ARCH=${CPU} \
-        -DBUILD_SHARED_LIBS=OFF"
+    CMAKE_EXTRA="${CMAKE_EXTRA:+$CMAKE_EXTRA } -DGGML_CPU_KLEIDIAI=ON"
 fi
 
 if [ ! -z ${GG_BUILD_BLAS} ]; then
Repository: huggingface/transformers
Pull request: Update post proc

bos and eos behaviour should match when updating post processor

setting `add_bos_token=True` when `bos_token=None` should silently disables `add_bos_token`. (was already the behavior for `eos_token`)


Changed files:
filename: src/transformers/tokenization_utils_tokenizers.py
patch: @@ -425,15 +425,12 @@ def update_post_processor(self):
         bos = self.bos_token
         bos_token_id = self.bos_token_id
         if bos is None and self.add_bos_token:
-            raise ValueError("add_bos_token = True but bos_token = None")
+            self.add_bos_token = False
 
         eos = self.eos_token
         eos_token_id = self.eos_token_id
-        # If eos_token is None and add_eos_token is True, silently disable add_eos_token
-        # This allows tokenizers to set add_eos_token even if eos_token is not configured
         if eos is None and self.add_eos_token:
             self.add_eos_token = False
-            return
 
         single = f"{(bos + ':0 ') if self.add_bos_token else ''}$A:0{(' ' + eos + ':0') if self.add_eos_token else ''}"
         pair = f"{single}{(' ' + bos + ':1') if self.add_bos_token else ''} $B:1{(' ' + eos + ':1') if self.add_eos_token else ''}"

filename: tests/test_tokenizers_backend_mixin.py
patch: @@ -437,6 +437,30 @@ def test_rust_tokenizer_add_prefix_space(self, add_prefix_space):
             if hasattr(fast_tokenizer.backend_tokenizer.pre_tokenizer, "add_prefix_space"):
                 self.assertEqual(fast_tokenizer.backend_tokenizer.pre_tokenizer.add_prefix_space, add_prefix_space)
 
+    def test_add_bos_token_without_bos_token(self):
+        """
+        Test that setting add_bos_token=True when bos_token=None silently disables add_bos_token.
+        """
+        tokenizer_r = self.get_rust_tokenizer()
+
+        # Reload the tokenizer with bos_token=None
+        with tempfile.TemporaryDirectory() as tmpdir:
+            tokenizer_r.save_pretrained(tmpdir)
+            tokenizer_class = getattr(self, "rust_tokenizer_class", None) or getattr(self, "tokenizer_class", None)
+            tokenizer_no_bos = tokenizer_class.from_pretrained(tmpdir, bos_token=None)
+
+        self.assertIsNone(tokenizer_no_bos.bos_token)
+
+        tokenizer_no_bos.add_bos_token = True
+
+        self.assertFalse(tokenizer_no_bos.add_bos_token)
+
+        test_text = "Hello world"
+        encoded = tokenizer_no_bos(test_text)
+        self.assertIsNotNone(encoded["input_ids"])
+        decoded = tokenizer_no_bos.decode(encoded["input_ids"], skip_special_tokens=True)
+        self.assertIsInstance(decoded, str)
+
     def test_local_files_only(self):
         from transformers import AutoTokenizer
Repository: facebook/react
Pull request: Fix CI from stale merge

Fixes errors from merging https://github.com/facebook/react/pull/34550 without https://github.com/facebook/react/issues/34528

Changed files:
filename: compiler/apps/playground/__tests__/e2e/__snapshots__/page.spec.ts/default-config.txt
patch: @@ -2,4 +2,4 @@ import type { PluginOptions } from 
 'babel-plugin-react-compiler/dist';
 ({
   //compilationMode: "all"
-} satisfies Partial<PluginOptions>);
\ No newline at end of file
+} satisfies PluginOptions);
\ No newline at end of file

filename: compiler/apps/playground/__tests__/e2e/page.spec.ts
patch: @@ -263,7 +263,7 @@ test('error is displayed when config has validation error', async ({page}) => {
 
 ({
   compilationMode: "123"
-} satisfies Partial<PluginOptions>);`,
+} satisfies PluginOptions);`,
     showInternals: false,
   };
   const hash = encodeStore(store);
@@ -293,7 +293,7 @@ test('disableMemoizationForDebugging flag works as expected', async ({
   environment: {
     disableMemoizationForDebugging: true
   }
-} satisfies Partial<PluginOptions>);`,
+} satisfies PluginOptions);`,
     showInternals: false,
   };
   const hash = encodeStore(store);
Repository: ollama/ollama
Pull request: tests: tighten up a few flaky tests

Sometimes the context test results are pure emoji's. Thanksgiving has too much variability, so swap for a more straight forward prompt.

Changed files:
filename: integration/context_test.go
patch: @@ -50,7 +50,7 @@ func TestContextExhaustion(t *testing.T) {
 	// Set up the test data
 	req := api.GenerateRequest{
 		Model:  smol,
-		Prompt: "Write me a story with a ton of emojis?",
+		Prompt: "Write me a story in english with a lot of emojis",
 		Stream: &stream,
 		Options: map[string]any{
 			"temperature": 0,

filename: integration/utils_test.go
patch: @@ -561,7 +561,7 @@ func GenerateRequests() ([]api.GenerateRequest, [][]string) {
 				KeepAlive: &api.Duration{Duration: 10 * time.Second},
 			}, {
 				Model:     smol,
-				Prompt:    "what is the origin of the US thanksgiving holiday? Be brief but factual in your reply",
+				Prompt:    "how do rainbows form? Be brief but factual in your reply",
 				Stream:    &stream,
 				KeepAlive: &api.Duration{Duration: 10 * time.Second},
 			}, {
@@ -579,9 +579,9 @@ func GenerateRequests() ([]api.GenerateRequest, [][]string) {
 		[][]string{
 			{"sunlight", "scattering", "interact", "color", "surface", "depth", "red", "orange", "yellow", "absorbs", "wavelength"},
 			{"soil", "organic", "earth", "black", "tan", "chemical", "processes", "pigments", "particles", "iron oxide", "rust", "air", "water", "mixture", "mixing"},
-			{"england", "english", "massachusetts", "pilgrims", "colonists", "independence", "british", "feast", "family", "gatherings", "traditions", "turkey", "colonial", "period", "harvest", "agricultural", "european settlers", "american revolution", "civil war", "16th century", "17th century", "native american", "united states", "cultural", "hardship", "autumn", "festival"},
+			{"water", "droplet", "refracted", "reflect", "color", "spectrum"},
 			{"fourth", "july", "declaration", "independence"},
-			{"nitrogen", "oxygen", "carbon", "dioxide"},
+			{"nitrogen", "oxygen", "carbon", "dioxide", "water", "vapor"},
 		}
 }
Repository: ollama/ollama
Pull request: cuda: remove compression for better compatibility

This retains compatibility with driver 531 and up at the trade-off of space.

Alternative approach to #12258 

Sizes:
- 1.8G ollama-linux-amd64.tgz
- 1.7G ollama-linux-arm64.tgz
- 1.8G ollama-windows-amd64.zip

Baseline from 0.11.11-rc0:
- 1.5G ollama-linux-amd64.tgz
- 1.5G ollama-linux-arm64.tgz
- 1.5G ollama-windows-amd64.zip

Changed files:
filename: CMakeLists.txt
patch: @@ -25,7 +25,7 @@ set(GGML_LLAMAFILE ON)
 set(GGML_CUDA_PEER_MAX_BATCH_SIZE 128)
 set(GGML_CUDA_GRAPHS ON)
 set(GGML_CUDA_FA ON)
-set(GGML_CUDA_COMPRESSION_MODE size)
+set(GGML_CUDA_COMPRESSION_MODE default)
 
 if((CMAKE_OSX_ARCHITECTURES AND NOT CMAKE_OSX_ARCHITECTURES MATCHES "arm64")
     OR (NOT CMAKE_OSX_ARCHITECTURES AND NOT CMAKE_SYSTEM_PROCESSOR MATCHES "arm|aarch64|ARM64|ARMv[0-9]+"))