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evalstate HF Staff commited on Apr 20

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data/clusters.json +113 -19
data/contributors.json +397 -565
data/pr_scope_clusters.json +0 -0
data/prs.json +436 -1398
data/summary.json +12 -12

data/clusters.json CHANGED Viewed

@@ -1,9 +1,89 @@
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-    "body_excerpt": "# What does this PR do? Adds 4-bit embedding quantization for BitsAndBytes, mirroring TorchAO's existing `include_input_output_embeddings` and `untie_embedding_weights` pattern (PRs #37802, #37905, #37935). Large-vocabulary models (Llama 3\u2026",
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-    "html_url": "https://github.com/huggingface/transformers/pull/44122",
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-      "Code agent slop"
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-    "state": "closed",
-    "title": "Add BnB 4-bit embedding quantization support",
-    "updated_at": "2026-02-18T14:27:25Z"
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-  {
-    "additions": 14,
-    "author": "tirth8205",
-    "author_association": "NONE",
-    "body_excerpt": "Fixes #34920 After applying `normalize()`, images can have negative values. Calling `resize()` on such images fails because it internally converts to PIL, which requires values in [0, 1] or [0, 255]. ### Fix When the image has values outsi\u2026",
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-    "files_url": "https://github.com/huggingface/transformers/pull/44120/files",
-    "html_url": "https://github.com/huggingface/transformers/pull/44120",
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-      "Code agent slop"
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-    "title": "fix: allow image_transforms.resize to handle negative values after normalization",
-    "updated_at": "2026-02-18T14:08:54Z"
-  },
-  {
-    "additions": 1,
-    "author": "tirth8205",
-    "author_association": "NONE",
-    "body_excerpt": "Fixes #44117 `TOKENIZER_MAPPING_NAMES.get(config_model_type, \"\")` returns `None` when the key exists with value `None`, causing `AttributeError: 'NoneType' object has no attribute 'replace'` when loading models like `google/siglip2-so400m-\u2026",
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-    "created_at": "2026-02-17T23:53:20Z",
-    "deletions": 1,
-    "draft": false,
-    "files_url": "https://github.com/huggingface/transformers/pull/44119/files",
-    "html_url": "https://github.com/huggingface/transformers/pull/44119",
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-    "merged": false,
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-    "title": "fix: handle None value from TOKENIZER_MAPPING_NAMES.get() in AutoTokenizer",
-    "updated_at": "2026-02-18T14:04:47Z"
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-  {
-    "additions": 32,
-    "author": "tirth8205",
-    "author_association": "NONE",
-    "body_excerpt": "## Fix Fixes #44079 When a `ModelOutput` dataclass field is initialized as `None`, it is correctly excluded from the OrderedDict keys. However, **subsequently setting that field to a non-None value** via attribute assignment (e.g. `outputs\u2026",
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-    "conversation_url": "https://github.com/huggingface/transformers/pull/44118",
-    "created_at": "2026-02-17T23:31:31Z",
-    "deletions": 0,
-    "draft": false,
-    "files_url": "https://github.com/huggingface/transformers/pull/44118/files",
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-    "title": "fix: ModelOutput keys not updated when setting previously-None dataclass fields",
-    "updated_at": "2026-02-18T14:18:12Z"
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-  {
-    "additions": 27,
-    "author": "dtiourine",
-    "author_association": "FIRST_TIME_CONTRIBUTOR",
-    "body_excerpt": "Migrate Flaubert to the @capture_outputs and @can_return_tuple decorator pattern for output handling, as part of #43979. # What does this PR do? - Add `_can_record_outputs = {\"attentions\": MultiHeadAttention}` on `FlaubertPreTrainedModel`\u2026",
-    "changed_files": 1,
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-    "conversation_url": "https://github.com/huggingface/transformers/pull/44116",
-    "created_at": "2026-02-17T21:52:13Z",
-    "deletions": 102,
-    "draft": false,
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-    "html_url": "https://github.com/huggingface/transformers/pull/44116",
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-    "title": "[WIP] [Flaubert] Refactor output tracing to decorator-based interface",
-    "updated_at": "2026-02-17T21:53:23Z"
-  },
-  {
-    "additions": 2,
-    "author": "Deep-unlearning",
-    "author_association": "MEMBER",
-    "body_excerpt": "## Summary - Fix broken `[chat template](./chat_templating)` links in `docs/source/en/tasks/` - `./chat_templating` resolves within `tasks/` (doesn't exist); corrected to `../chat_templating` - Affected files: `tasks/image_text_to_text.md`\u2026",
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-    "title": "[docs] fix broken chat_templating links in tasks docs",
-    "updated_at": "2026-02-23T16:27:57Z"
-  },
-  {
-    "additions": 716,
-    "author": "23atharvaS",
-    "author_association": "FIRST_TIME_CONTRIBUTOR",
-    "body_excerpt": "## Summary This PR migrates the `wav2vec2` family to the standardized output-capturing interface (`@capture_outputs` + `@can_return_tuple`) and includes follow-up compatibility fixes required to make full CI green. ## What changed ### Core\u2026",
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-    "title": "Migrate wav2vec2, wav2vec2_conformer, and wav2vec2_bert to standardized output collection decorators",
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-  },
-  {
-    "additions": 5,
-    "author": "harshaljanjani",
-    "author_association": "CONTRIBUTOR",
-    "body_excerpt": "### What does this PR do? The following issue was identified and fixed in this PR: \u2192 Updates the stale `test_device_override` in `test_processing_granite_speech.py` to verify that the device param controls where speech inputs are placed, r\u2026",
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-  {
-    "additions": 30,
-    "author": "fumadari",
-    "author_association": "NONE",
-    "body_excerpt": "## Summary - Part of #43979 \u2014 refactors `poolformer` to use the `capture_outputs`, `can_return_tuple`, and `merge_with_config_defaults` decorators - Simplifies `PoolFormerLayer` to return a single tensor instead of a 1-tuple - Simplifies `\u2026",
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-    "created_at": "2026-02-17T19:38:02Z",
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-    "title": "refactor(poolformer): use capture_outputs for output tracing",
-    "updated_at": "2026-02-18T21:19:22Z"
-  },
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-    "additions": 28,
-    "author": "fumadari",
-    "author_association": "NONE",
-    "body_excerpt": "## Summary - Part of #43979 \u2014 refactors `tvp` to use the `capture_outputs`, `can_return_tuple`, and `merge_with_config_defaults` decorators - Simplifies `TvpAttention` to always return `(output, attention_probs)` (hooks decide what to capt\u2026",
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-    "conversation_url": "https://github.com/huggingface/transformers/pull/44110",
-    "created_at": "2026-02-17T19:32:55Z",
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-    "title": "refactor(tvp): use capture_outputs for output tracing",
-    "updated_at": "2026-02-18T21:19:24Z"
-  },
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-    "additions": 48,
-    "author": "fumadari",
-    "author_association": "NONE",
-    "body_excerpt": "## Summary - Part of #43979 \u2014 refactors `hgnet_v2` to use the `capture_outputs` and `merge_with_config_defaults` decorators - Simplifies `HGNetV2Encoder` by removing `return_dict` parameter (always returns `BaseModelOutputWithNoAttention`)\u2026",
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-  },
-  {
-    "additions": 33,
-    "author": "fumadari",
-    "author_association": "NONE",
-    "body_excerpt": "## Summary - Adds `@merge_with_config_defaults` and `@capture_outputs` to both `VitDetModel` and `VitDetBackbone`, removing manual `output_attentions`/`return_dict` resolution - Adds `_can_record_outputs = {\"attentions\": VitDetAttention}`\u2026",
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-    "created_at": "2026-02-17T19:15:00Z",
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-    "additions": 40,
-    "author": "fumadari",
-    "author_association": "NONE",
-    "body_excerpt": "## Summary - Replaces manual `output_hidden_states`/`return_dict` resolution in `MraModel` with `@merge_with_config_defaults` and `@capture_outputs` decorators - Simplifies `MraEncoder` to a plain loop returning a single tensor, removing `\u2026",
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-    "updated_at": "2026-02-18T21:19:29Z"
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-    "additions": 47,
-    "author": "fumadari",
-    "author_association": "NONE",
-    "body_excerpt": "## Summary - Replace manual `hidden_states`/`attentions` collection in `YosoEncoder` with the `@capture_outputs` decorator and forward hooks - Add `@can_return_tuple` to all 5 wrapper model classes, eliminating manual `return_dict` handlin\u2026",
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-    "title": "Refactor yoso to use automatic output tracing",
-    "updated_at": "2026-02-18T21:19:30Z"
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-  {
-    "additions": 39,
-    "author": "fumadari",
-    "author_association": "NONE",
-    "body_excerpt": "## Summary - Replace manual `hidden_states`/`attentions` collection in `LiltEncoder` with the `@capture_outputs` decorator and forward hooks - Add `@can_return_tuple` to all 3 wrapper model classes, eliminating manual `return_dict` handlin\u2026",
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-    "additions": 66,
-    "author": "fumadari",
-    "author_association": "NONE",
-    "body_excerpt": "## Summary - Replace manual `hidden_states`/`attentions`/`cross_attentions` collection in `MegatronBertEncoder` with the `@capture_outputs` decorator and forward hooks - Add `@can_return_tuple` to all 8 wrapper model classes, eliminating m\u2026",
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-    "files_url": "https://github.com/huggingface/transformers/pull/44104/files",
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-    "title": "Refactor megatron_bert to use automatic output tracing",
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-    "additions": 53,
-    "author": "engmohamedsalah",
-    "author_association": "NONE",
-    "body_excerpt": "Fixes #44052 Now and then, the indexer ran into trouble switching between masks and cache. Most of the test failures came from these hiccups: - Indexer cache: the old if seq_len > 1: reset cache heuristic broke assisted decoding (multi-tok\u2026",
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-    "files_url": "https://github.com/huggingface/transformers/pull/44103/files",
-    "html_url": "https://github.com/huggingface/transformers/pull/44103",
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-    "state": "closed",
-    "title": "Fix glm_moe_dsa",
-    "updated_at": "2026-02-18T19:38:11Z"
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-    "additions": 42,
-    "author": "fumadari",
-    "author_association": "NONE",
-    "body_excerpt": "## Summary Refactors the `ibert` model to use the new `@capture_outputs` and `@can_return_tuple` decorators for output tracing, as part of the meta-issue #43979. **Key changes:** - Added `_can_record_outputs = {\"hidden_states\": IBertLayer,\u2026",
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-    "title": "Refactor ibert output tracing with capture_outputs",
-    "updated_at": "2026-02-18T21:19:35Z"
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-    "additions": 210,
-    "author": "aman-coder03",
-    "author_association": "FIRST_TIME_CONTRIBUTOR",
-    "body_excerpt": "## What does this PR do? This PR refactors XLM's output tracing to align with the standardized output capturing patterns used across the codebase. ### Key changes: - Refactors transformer blocks into a dedicated `XLMLayer` module to enable\u2026",
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-    "title": "[XLM] Refactor output tracing to align with capture_outputs standardized architecture",
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-    "author_association": "MEMBER",
-    "body_excerpt": "In https://github.com/huggingface/trl/pull/5112 a user reported that `trl sft --help` fails It's because three inherited args from `TrainingArguments` (`torch_empty_cache_steps`, `gradient_checkpointing` and `use_liger_kernel`)help strings\u2026",
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+    "additions": 1,
+    "author": "sywangyi",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "InternVLQwen2IntegrationTest::test_qwen2_medium_model_integration_video - Intel XPU: @IlyasMoutawwakil",
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+  },
+  {
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+    "author": "jiqing-feng",
+    "author_association": "CONTRIBUTOR",
+    "body_excerpt": "## What does this PR do? `CsmProcessor` defaults `add_special_tokens=False` (designed for `apply_chat_template`, which includes `<bos>` in the Jinja template). When the pipeline calls `preprocessor(text)` directly for raw text input, `<bos\u2026",
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+    "title": "Fix CSM `TextToAudioPipeline` missing `<bos>` token",
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+  },
+  {
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+    "author": "SAY-5",
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+    "body_excerpt": "Fixes #45520. `is_flash_attn_2_available`, `is_flash_attn_3_available`, `is_flash_attn_4_available`, and `is_flash_attn_greater_or_equal` all do two checks: ```python is_available, _ = _is_package_available(\"flash_attn\", return_version=Tru\u2026",
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+  },
+  {
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+    "author": "duyhv-qualgo",
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+    "body_excerpt": "## Problem Two related bugs in `src/transformers/integrations/executorch.py` that break seq2seq (T5) ExecuTorch export: ### Bug 1 \u2014 `encoder_attention_mask` not forwarded to decoder `Seq2SeqLMDecoderExportableModuleWithStaticCache.forward`\u2026",
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+  },
+  {
+    "additions": 62,
+    "author": "KeitaW",
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+    "body_excerpt": "# What does this PR do? Exposes PyTorch DDP's `static_graph` flag via a new `ddp_static_graph: Optional[bool]` field on `TrainingArguments`, forwarded through `Trainer._build_accelerator_args` into Accelerate's [`DistributedDataParallelKwa\u2026",
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+  },
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+    "author": "Tokarak",
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+    "body_excerpt": "# What does this PR do? Rename arg from `input_ids` to `labels` (using IDE rename), to be consistent with other models' `prepare_decoder_input_ids_from_labels`. Fix broken interaction when DataCollatorForSeq2Seq passes argument as a hard-c\u2026",
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+  },
+  {
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+    "author": "Jah-yee",
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+    "body_excerpt": "Good day ## Summary This PR fixes a bug in `src/transformers/testing_utils.py` where `get_device_properties()` calls `torch.cuda.get_device_capability()` without first checking if a GPU is actually available. ## Bug Description When CUDA i\u2026",
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+  },
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+    "author": "tianhaocui",
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+    "body_excerpt": "Fixes #45507 ## Summary `GraniteMoeHybridModel._update_mamba_mask` calls `past_key_values.has_previous_state()` without checking whether the model actually has mamba layers. When all layers are attention-only (no mamba layers in `config.la\u2026",
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+    "state": "open",
+    "title": "Fix GraniteMoeHybrid _update_mamba_mask crash on attention-only models",
+    "updated_at": "2026-04-19T10:28:45Z"
+  },
+  {
+    "additions": 95,
+    "author": "kashif",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? The gated-delta-net forward only used the cached recurrent state when `seq_len == 1`. For any multi-token forward with a populated cache (e.g. chunked prefill continuation or speculative-decoding verification), it f\u2026",
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+    "state": "open",
+    "title": "[Qwen3.5] Fix Qwen3.5 linear attention multi-token cached forward",
+    "updated_at": "2026-04-19T15:43:06Z"
+  },
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+    "author": "eustlb",
+    "author_association": "MEMBER",
+    "body_excerpt": "# What does this PR do? As discussed in #44408, this adds the possibility to do regex matching for `layer_name` in the `OutputRecorder`. ```python OutputRecorder(GraniteSpeechConformerBlock, layer_name=r\"layers\\.(6|12|18)$\") ``` **Backward\u2026",
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+    "title": "[OutputRecorder] re.search on layer_name",
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+  },
+  {
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+    "author": "Kabir08",
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+    "body_excerpt": "This fixes the NaN issue when batching mixed-length sequences with sliding window attention (e.g., with `EmbeddingGemma` / Gemma3 models). The patch ensures that when a query position's entire sliding window falls within the padding region\u2026",
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+  },
+  {
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+    "author": "GitGlimpse895",
+    "author_association": "FIRST_TIME_CONTRIBUTOR",
+    "body_excerpt": "# What does this PR do? `QuantizedLayer` maintains two separate storage regions: a full-precision residual buffer (`self.keys` / `self.values`) and a quantized buffer (`self._quantized_keys` / `self._quantized_values`). However, the four m\u2026",
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+  {
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+    "author": "Jah-yee",
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+    "body_excerpt": "Good day ## Problem In `src/transformers/testing_utils.py`, the `get_device_properties()` function checks `IS_CUDA_SYSTEM` to determine whether to call `torch.cuda.get_device_capability()`. However, `IS_CUDA_SYSTEM` is set to `True` when `\u2026",
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+    "title": "Fix get_device_properties crash when CUDA is installed but no GPU",
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+  },
+  {
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+    "author": "avasis-ai",
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+    "body_excerpt": "## Summary Fixes a systematic docstring typo in all three streamer classes in `src/transformers/generation/streamers.py`: - `TextStreamer` - `TextIteratorStreamer` - `AsyncTextIteratorStreamer` Each had `\"The tokenized used to decode the t\u2026",
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+    "title": "[Doc] Fix 'tokenized' -> 'tokenizer' typo in streamer docstrings",
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+  },
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     "author": "sirzechs66",
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     "body_excerpt": "# What does this PR do? This PR adds full GGUF loading support for GPT\u2011OSS models (20B/120B). It allows Transformers (and consequently vLLM) to directly load GPT\u2011OSS GGUF files without falling back to a wrong architecture. The changes incl\u2026",
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     "title": "Add full GGUF loading support for GPT\u2011OSS (fixes #43366, supersedes #43757) latest",
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     "body_excerpt": "# What does this PR do? Hello, this PR aims to add the MiMo-V2-Flash model to the Transformers library Fixes https://github.com/huggingface/transformers/issues/42954 MiMo-V2 is \"The last of the OSS SOTAs\" that isn't natively supported by t\u2026",
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     "title": "Fix `text-to-speech` pipeline crash when generation config contains `None` values",
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     "body_excerpt": "- TODO - how will dtensor works with quantization ? - how will dtensor works with kernels ? - Needs end to end test (combine `verify_all_loss` -> `training` with saving + loading back for generate ?) - double check Save FSDP + TP - do test\u2026",
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     "title": "Fix Zamba2MambaMixer ignoring use_mamba_kernels=False",
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     "body_excerpt": "## What does this PR do? Adds Qwen3-TTS, a series of text-to-speech models by the Qwen team (Alibaba Group), to Transformers. **Architecture:** - `Qwen3TTSForConditionalGeneration` \u2014 text to multi-codebook speech codes (talker) - `Qwen3TTS\u2026",
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     "body_excerpt": "# What does this PR do? This PR adds TDT decoder support for Parakeet ASR models, extending the existing CTC-only implementation. It incorporates the initial TDT integration work from [#41545](https://github.com/huggingface/transformers/pu\u2026",
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