版本更新：huggingface/transformers v5.6.0，提升开发者接入体验

Release v5.6.0 New Model additions OpenAI Privacy Filter OpenAI Privacy Filter is a bidirectional token-classification model for personally identifiable information (PII) detection and masking in text. It is intended for high-throughput data sanitization workflows where teams need a model that they can run on-premises that is fast, context-aware, and tunable. The model labels an input sequence in a single forward pass, then decodes coherent spans with a constrained Viterbi procedure, predicting probability distributions over 8 privacy-related output categories for each input token. Links: Documentation [ Privacy Filter ] Add model ( #45580 ) by @vasqu in #45580 QianfanOCR Qianfan-OCR is a 4B-parameter end-to-end document intelligence model developed by Baidu that performs direct image-to-text conversion without traditional multi-stage OCR pipelines. It supports a broad range of prompt-driven tasks including structured document parsing, table extraction, chart understanding, document question answering, and key information extraction all within one unified model. The model features a unique "Layout-as-Thought" capability that generates structured layout representations before producing final outputs, making it particularly effective for complex documents with mixed element types. Links: Documentation | Paper add Qianfan-OCR model definition ( #45280 ) by @marvinzh in #45280 SAM3-LiteText SAM3-LiteText is a lightweight variant of SAM3 that replaces the heavy SAM3 text encoder (353M parameters) with a compact MobileCLIP-based text encoder optimized through knowledge distillation, while keeping the SAM3 ViT-H image encoder intact. This reduces text encoder parameters by up to 88% while maintaining segmentation performance comparable to the original model. The model enables efficient vision-language segmentation by addressing the redundancy found in text prompting for segmentation tasks. Links: Documentation | Paper Add SAM3-LiteText ( #44320 ) by @NielsRogge in #44320 SLANet SLANet and SLANet_plus are lightweight models designed for table structure recognition, focusing on accurately recognizing table structures in documents and natural scenes. The model improves accuracy and inference speed by adopting a CPU-friendly lightweight backbone network PP-LCNet, a high-low-level feature fusion module CSP-PAN, and a feature decoding module SLA Head that aligns structural and positional information. SLANet was developed by Baidu PaddlePaddle Vision Team as part of their table structure recognition solutions. Links: Documentation [Model] Add SLANet Model Support ( #45532 ) by @zhang-prog in #45532 Breaking changes The internal rotary_fn is no longer registered as a hidden kernel function, so any code referencing self.rotary_fn(...) within an Attention module will break and must be updated to call the function directly instead. 🚨 [ Kernels ] Fix kernel function registration ( #45420 ) by @vasqu Serve The transformers serve command received several enhancements, including a new /v1/completions endpoint for legacy text completion, multimodal support for audio and video inputs, improved tool-calling via parse_response , proper forwarding of tool_calls / tool_call_id fields, a 400 error on model mismatch when the server is pinned to a specific model, and fixes for the response API. Documentation was also updated to cover new serving options such as --compile and --model-timeout . Add /v1/completions endpoint (OpenAI legacy completions API) to transformers serve ( #44558 ) by @rain-1 in [ #44558 ] Updated the image cache for Paddle models according to the latest API ( #45562 ) by @zhang-prog in [ #45562 ] Raise 400 on model mismatch when transformers serve is pinned ( #45443 ) by @qgallouedec in [ #45443 ] [serve] Update tool call to switch to parse_response ( #45485 ) by @SunMarc in [ #45485 ] Fix response api support ( #45463 ) by @SunMarc in [ #45463 ] [serve] Forward tool_calls / tool_call_id in processor inputs ( #45418 ) by @qgallouedec in [ #45418 ] refactor(qa): extend extras so ty can run on server modules ( #45456 ) by @tarekziade in [ #45456 ] Multimodal serve support ( #45220 ) by @SunMarc in [ #45220 ] [docs] transformers serve ( #45174 ) by @stevhliu in [ #45174 ] Vision Several vision-related bug fixes were applied in this release, including correcting Qwen2.5-VL temporal RoPE scaling for still images, fixing missing/mismatched image processor backends for Emu3 and BLIP, resolving modular image processor class duplication, and preventing accelerate from incorrectly splitting vision encoders in PeVideo/PeAudioVideo models. Image loading performance was also improved by leveraging torchvision's native decode_image in the torchvision backend, yielding up to ~17% speedup over PIL-based loading. Revert "Fix: modular image processors ( #45492 )" ( #45531 ) by @tarekziade in [ #45531 ] Fix: modular image processors ( #45492 ) by @zucchini-nlp in [ #45492 ] fix: prevent accelerate from splitting vision encoder by setting no … ( #43047 ) by @ in [ #43047 ] Fix Qwen2.5-VL temporal RoPE scaling applied to still images ( #45330 ) by @Kash6 in [ #45330 ] Use torchvision decode_image to load images in the torchvision backend ( #45195 ) by @yonigozlan in [ #45195 ] Fix missing image processors backends ( #45165 ) by @zucchini-nlp in [ #45165 ] Parallelization Fixed several bugs affecting distributed training, including silently wrong results or NaN loss with Expert Parallelism, NaN weights on non-rank-0 FSDP processes, and a resize failure in PP-DocLayoutV3; additionally added support for loading adapters with Tensor Parallelism, added MoE to the Gemma4 TP plan, and published documentation for TP training. Fix EP: RouterParallel shape, tp_plan property, grouped_mm sentinels ( #45473 ) by @AmineDiro in [ #45473 ] Fix NaN weights on non-rank-0 FSDP processes ( #45050 ) by @albertvillanova in [ #45050 ] Load adapter with TP ( #45155 ) by @michaelbenayoun in [ #45155 ] [docs] tp training ( #44613 ) by @stevhliu in [ #44613 ] Fix resize failure caused by zero-sized masks in PP-DocLayoutV3 ( #45281 ) by @zhang-prog in [ #45281 ] Add MoE to Gemma4 TP plan ( #45219 ) by @sywangyi in [ #45219 ] Tokenization Fixed a docstring typo in streamer classes, resolved a Kimi-K2.5 tokenizer regression and _patch_mistral_regex AttributeError, and patched a streaming generation crash for Qwen3VLProcessor caused by incorrect _tokenizer attribute access. Additional housekeeping included moving the GPT-SW3 instruct tokenizer to an internal testing repo and fixing a global state leak in the tokenizer registry during tests. [Doc] Fix 'tokenized' -> 'tokenizer' typo in streamer docstrings ( #45508 ) by @avasis-ai in [ #45508 ] Fix Kimi-K2.5 tokenizer regression and _patch_mistral_regex AttributeError ( #45359 ) by @ArthurZucker in [ #45359 ] fix(serving): resolve rust tokenizer from ProcessorMixin in streaming generation ( #45368 ) by @sharziki in [ #45368 ] [ Tokenizers ] Move gpt sw3 tokenizer out ( #45404 ) by @vasqu in [ #45404 ] fix: leak in tokenizer registry for test_processors ( #45318 ) by @tarekziade in [ #45318 ] Cache Cache handling was improved for Gemma4 and Gemma3n models by dissociating KV state sharing from the Cache class, ensuring KV states are always shared regardless of whether a Cache is used. Additionally, the image cache for Paddle models was updated to align with the latest API. Align gemma3n cache sharing to gemma4 ( #45489 ) by @Cyrilvallez in [ #45489 ] remove cache file from tree ( #45392 ) by @tarekziade in [ #45392 ] [gemma4] Dissociate kv states sharing from the Cache ( #45312 ) by @Cyrilvallez in [ #45312 ] Audio Audio models gained vLLM compatibility through targeted fixes across several model implementations, while reliability improvements were also made including exponential back-off retries for audio file downloads, a crash fix in the text-to-speech pipeline when generation configs contain None values, and corrected test failures for Kyutai Speech-To-Text. feat[vLLM × v5]: Add vLLM compatibility for audio models ( #45326 ) by @harshaljanjani in [ #45326 ] http retries on audio file downloads ( #45126 ) by @tarekziade in [ #45126 ] fix(testing): Fix Kyutai Speech-To-Text and LongCatFlash test failures on main CI ( #44695 ) by @harshaljanjani in [ #44695 ] Fix text-to-speech pipeline crash when generation config contains None values ( #45107 ) by @jiqing-feng in [ #45107 ] Bugfixes and improvements [ Privacy Filter ] Add model ( #45580 ) by @vasqu in [ #45580 ] Add ForSequenceClassification heads for the OLMo family ( #45551 ) by @earino in [ #45551 ] Add IndexCache support for GLM5 DSA ( #45424 ) by @louzongzhi in [ #45424 ] Fix redundant logic in video processing SmolVLM ( #45272 ) by @yonigozlan in [ #45272 ] Fix typos ( #45574 ) by @vasqu in [ #45574 ] [Model] Add SLANet Model Support ( #45532 ) by @zhang-prog in [ #45532 ] refactor(Dots1): drop Dots1MoE override to pass (inherits from DSV3 MoE) ( #45572 ) by @casinca in [ #45572 ] perf: avoid recomputing rotary_emb for each layer in some Google and ModernBERT models ( #45555 ) by @casinca in [ #45555 ] Gemma4 training with text-only samples ( #45454 ) by @zucchini-nlp in [ #45454 ] [nemotron_h] Add support for MLP mixers ( #44763 ) by @xenova in [ #44763 ] add expert parallelism for gemma-4-26B-A4B-it ( #45279 ) by @sywangyi in [ #45279 ] Add full GGUF loading support for GPT‑OSS (fixes #43366 , supersedes #43757 ) latest ( #45506 ) by @sirzechs66 in [ #45506 ] Update Gemma4 weight conversion script ( #45328 ) by @RyanMullins in [ #45328 ] Move some conversion mappings to PrefixChange ( #45567 ) by @Cyrilvallez in [ #45567 ] fix table update versions ( #45544 ) by @tarekziade in [ #45544 ] Add disable_mmap kwarg to from_pretrained with hf-mount auto-detection ( #45547 ) by @rtrompier in [ #45547 ] fix(DSV3): parity between native DeepseekV3MoE and remote official implementation ( #45441 ) by @casinca in [ #45441 ] [modular] Fix modular logic broken in #45045 ( #45539 ) by @Cyrilvallez in [ #45539 ] Fix: propagate quantization_config to text sub-config for composite models in AutoModelForCausalLM ( #45494 ) by @lvliang-intel in [ #45494 ] T5Gemma2: fix prepare_decoder_input_ids_from_labels ( #45516 ) by @Tokarak in [ #45516 ] [Trainer] Add ddp_static_graph option ( #45519 ) by @KeitaW in [ #45519 ] Add dtype config options for Four Over Six ( #45367 ) by @jackcook in [ #45367 ] [Sam3LiteText] Remove unnecessary modules/configs ( #45535 ) by @yonigozlan in [ #45535 ] Fix conditional check for float formatting ( #44425 ) by @qgallouedec in [ #44425 ] Fix AMD CI: rebuild torchvision with libjpeg + refresh expectations ( #45533 ) by @Abdennacer-Badaoui in [ #45533 ] Reapply modular to examples ( #45527 ) by @Cyrilvallez in [ #45527 ] qa: re-run modular converter when the script itself is modified ( #45528 ) by @tarekziade in [ #45528 ] [GGUF] Reduce peak RAM usage by casting dequantized tensors early during load ( #45386 ) by @UsamaKenway in [ #45386 ] Fix CSM TextToAudioPipeline missing <bos> token ( #45525 ) by @jiqing-feng in [ #45525 ] [ Conversion Mapping ] Small fixups ( #45483 ) by @vasqu in [ #45483 ] fix: return empty tuple from import_protobuf_decode_error when protobuf is unavailable ( #45486 ) by @jw9603 in [ #45486 ] throw error when conversion required ( #45078 ) by @itazap in [ #45078 ] chore: bump doc-builder SHA for PR upload workflow ( #45450 ) by @rtrompier in [ #45450 ] xpu output align with cuda in test case ( #45526 ) by @sywangyi in [ #45526 ] chore(qa): split out mlinter ( #45475 ) by @tarekziade in [ #45475 ] [loading] Clean way to add/remove full parts in checkpoint names ( #45448 ) by @Cyrilvallez in [ #45448 ] Fix Zamba2MambaMixer ignoring use_mamba_kernels=False ( #44853 ) by @sergiopaniego in [ #44853 ] revert sha commit pointing to main for transformers_amd_ci_ workflows ( #45495 ) by @paulinebm in [ #45495 ] Fix ZeRO-3 from_pretrained: load registered buffers in _load_state_dict_into_zero3_model ( #45402 ) by @saslifat-gif in [ #45402 ] Remove redundant condition checks in get_image_size method ( #45461 ) by @JiauZhang in [ #45461 ] Add check-auto in repo-consistency and fix sorting ( #45481 ) by @zucchini-nlp in [ #45481 ] Fix typos in src/transformers/utils/output_capturing.py ( #45269 ) by @ryota-komatsu in [ #45269 ] typing: rule 15 - checks for tie_word_embeddings presence ( #44988 ) by @tarekziade in [ #44988 ] [CB] Fix capture of max_seqlen ( #45323 ) by @remi-or in [ #45323 ] Minor update ( #45484 ) by @ydshieh in [ #45484 ] Add Neuron to auto-compile hardware list ( #44757 ) by @dacorvo in [ #44757 ] Allow loading Qwen Thinker 'base' models without generative head ( #45457 ) by @tomaarsen in [ #45457 ] [ fix ] Always early return for non-Mistral models in _patch_mistral_regex ( #45444 ) by @tomaarsen in [ #45444 ] Fix spurious position_ids warnings for at least 40 architectures ( #45437 ) by @tomaarsen in [ #45437 ] [ fix ] Make Qwen2_5OmniProcessor warning a lot less noisy via warning_once ( #45455 ) by @tomaarsen in [ #45455 ] Dynamic auto mapping ( #45018 ) by @zucchini-nlp in [ #45018 ] [docs] vlm addition ( #45271 ) by @stevhliu in [ #45271 ] fix: dont download artifacts from the test hub ( #45319 ) by @tarekziade in [ #45319 ] fix(clipseg): fix 2 failing tests ( #45403 ) by @kaixuanliu in [ #45403 ] [docs] @auto_docstring decorator ( #45130 ) by @stevhliu in [ #45130 ] Fix Sam3Processor missing input_boxes_labels for padded None entries ( #45171 ) by @Kash6 in [ #45171 ] better grad acc tests ( #45434 ) by @SunMarc in [ #45434 ] Add example for iterative chatting with MLLMs ( #45398 ) by @zucchini-nlp in [ #45398 ] Gemma4 resizing per layer inputs ( #45324 ) by @zucchini-nlp in [ #45324 ] Add step3_vl to MODELS_WITH_INCORRECT_HUB_TOKENIZER_CLASS ( #45449 ) by @hmellor in [ #45449 ] Update workflow references to new commit hash ( #45442 ) by @paulinebm in [ #45442 ] [Gemma4] Add docstrings for Per-Layer Embeddings (PLE) pipeline ( #45207 ) by @w4nderlust in [ #45207 ] [Doc] Correct checkpoint path in Dinov2 model_docs ( #45430 ) by @ambroiseodt in [ #45430 ] Fix ty for transformers cli ( #45190 ) by @SunMarc in [ #45190 ] fix(models): Resolve regressions in Wav2Vec2PhonemeCTCTokenizer (wav2vec2-lv-60-espeak-cv-ft) ( #45199 ) by @harshaljanjani in [ #45199 ] Fix Qwen2.5VL temporal grid positions ( #45400 ) by @zucchini-nlp in [ #45400 ] [ fix ] PEFT integration fixes preventing save/load & integration ( #45428 ) by @tomaarsen in [ #45428 ] Fix the response schema for the gemma4 converter ( #45411 ) by @Rocketknight1 in [ #45411 ] [Doc] MoE routing capture and replay recipe ( #44925 ) by @kashif in [ #44925 ] Fix apply_chat_template crash on tool_call messages without content ( #45348 ) by @qgallouedec in [ #45348 ] [AMD CI] Fix torch.compile/export failures on AMD CI due to untraceable set. contains ( #45282 ) by @Abdennacer-Badaoui in [ #45282 ] [inference_fusion] convert conv3d patch embed to linear ( #45041 ) by @JJJYmmm in [ #45041 ] Fix #45305 + add regression test GAS ( #45349 ) by @florian6973 in [ #45349 ] Update trackio integration to use Buckets and "freeze" Space after training ( #45329 ) by @abidlabs in [ #45329 ] fix(qwen3_moe): correct return type annotation on Qwen3MoeSparseMoeBlock.forward ( #45352 ) by @RudrenduPaul in [ #45352 ] Fix: NotebookProgressCallback crash when evaluating with the Trainer ( #44949 ) by @Charly21r in [ #44949 ] docs: fix 5 docstring errors in Gemma3nTextConfig (typos, grammar, formatting) ( #45370 ) by @RudrenduPaul in [ #45370 ] Less unnecessary RoPE warnings ( #45289 ) by @zucchini-nlp in [ #45289 ] Fix unintended Hub metadata calls from _patch_mistral_regex ( #43603 ) by @vaibhav-research in [ #43603 ] Fix MoE routers returning probabilities instead of logits ( #45131 ) by @yacinemebarki in [ #45131 ] [docs] training on specific hardware ( #44799 ) by @stevhliu in [ #44799 ] [docs] zero + sequence parallelism ( #44605 ) by @stevhliu in [ #44605 ] Fix vlm weight mappings ( #45358 ) by @Cyrilvallez in [ #45358 ] Copy the template resolution logic from the base apply_chat_template to Voxtral ( #45117 ) by @Rocketknight1 in [ #45117 ] add kwargs to all methods in the CallbackHandler class ( #45353 ) by @wilnn in [ #45353 ] Close file handler ( #45187 ) by @ydshieh in [ #45187 ] fix: restore mypy type checking for PreTrainedConfig subclasses ( #45071 ) ( #45240 ) by @shhKnight30 in [ #45240 ] cohere_asr : fix device issue for test_model_parallel_beam_search ( #45214 ) by @kaixuanliu in [ #45214 ] Fix AttributeError in Gemma3ForConditionalGeneration and Gemma3ForSequenceClassification when config.return_dict=False ( #45277 ) by @kamalrajkannan78 in [ #45277 ] fix bug for videomt model device mismatch ( #45204 ) by @kaixuanliu in [ #45204 ] fix gemma4 gradient accumulation loss and last token incorrect labels ( #45354 ) by @winglian in [ #45354 ] Logger has [transformers] prefix in non-verbose mode ( #45316 ) by @zucchini-nlp in [ #45316 ] Fix AttributeError in AssistantToTargetTranslator.unmap_input_ids with cross-vocab models ( #45320 ) by @Regata3010 in [ #45320 ] musicflamingo: add test support for Intel XPU device ( #45212 ) by @kaixuanliu in [ #45212 ] nomic_bert: make the test suitable for general device. ( #45209 ) by @kaixuanliu in [ #45209 ] Skip invalid flash-attn tests for pi0 model ( #45011 ) by @kaixuanliu in [ #45011 ] Add cuda compatibility check for using grouped_mm ( #45001 ) by @Sai-Suraj-27 in [ #45001 ] [docs] optimizers, hyperparam search, training features ( #44290 ) by @stevhliu in [ #44290 ] Remove unused parameters and improve add_tensor_parallel_hooks_t… ( #44768 ) by @michaelbenayoun in [ #44768 ] [gemma4] Fix device map auto ( #45347 ) by @Cyrilvallez in [ #45347 ] Refactor CLIP-like models ( #44431 ) by @zucchini-nlp in [ #44431 ] refactor: display test duration ( #45344 ) by @tarekziade in [ #45344 ] Fix Wav2Vec2Config.vocab_size type to allow None ( #45108 ) by @jiqing-feng in [ #45108 ] Add THD support in ESM ( #44145 ) by @balvisio in [ #44145 ] [gemma4] Remove all shared weights, and silently skip them during loading ( #45336 ) by @Cyrilvallez in [ #45336 ] Fix conversion mappings for vlms ( #45340 ) by @Cyrilvallez in [ #45340 ] chore: added circleci python script to ruff and ty checkers ( #45339 ) by @tarekziade in [ #45339 ] tweak checkers output on errors ( #45163 ) by @tarekziade in [ #45163 ] chore: remove test_hub for now ( #45337 ) by @tarekziade in [ #45337 ] [docs] pipeline cleanup ( #44954 ) by @stevhliu in [ #44954 ] Fix export for gemma4 and add Integration tests ( #45285 ) by @Cyrilvallez in [ #45285 ] Fix vllm cis ( #45139 ) by @ArthurZucker in [ #45139 ] [docs] static model rules ( #45232 ) by @stevhliu in [ #45232 ] fix(security): prevent untrusted users from triggering TRL CI dispatch ( #45302 ) by @jagwar in [ #45302 ] [AMD CI] Fix Qwen2 expectations ( #45284 ) by @Abdennacer-Badaoui in [ #45284 ] Add hasattr(torch.backends.cudnn, "conv") to conftest.py ( #45263 ) by @ydshieh in [ #45263 ] Fix SmolVLM video processor resize using wrong interpolation after backend refactor ( #45258 ) by @ydshieh in [ #45258 ] Fix Qwen2IntegrationTest ( #45268 ) by @ydshieh in [ #45268 ] doc: fix TokenizersBackend.convert_to_native_format docstring ( #45262 ) by @lowzhao in [ #45262 ] empty ( #45261 ) by @ydshieh in [ #45261 ] Fix unexpected TF32 being enabled in testing ( #45252 ) by @ydshieh in [ #45252 ] Fix tf32 issue: set torch.backends.cudnn.conv.fp32_precision explicitly. ( #45248 ) by @ydshieh in [ #45248 ] Nvidia CI with torch 2.11 ( #45243 ) by @ydshieh in [ #45243 ] Update tiny model creation script ( #45241 ) by @ydshieh in [ #45241 ] Update get_test_info.py (related to tiny model creation) ( #45238 ) by @ydshieh in [ #45238 ] More fix for tiny model creation ( #45228 ) by @ydshieh in [ #45228 ] remove unnecessary entries in some auto model mappings ( #45224 ) by @ydshieh in [ #45224 ] fix: hf-doc-builder insallation was failing ( #45225 ) by @tarekziade in [ #45225 ] [CB] Add per-request logits processors ( #45026 ) by @remi-or in [ #45026 ] [docs] formatting ( #45196 ) by @stevhliu in [ #45196 ] fix test_register_result_handler ( #45188 ) by @SunMarc in [ #45188 ] [CB] Tweaks to update and minor fixes ( #45179 ) by @remi-or in [ #45179 ] Fix pypi release ( #45210 ) by @ArthurZucker in [ #45210 ] fix(docs): correct gemma4 docs and examples ( #45197 ) by @douglas-reid in [ #45197 ] Add Turkish (tr) translation for Get Started section ( #45158 ) by @onwp in [ #45158 ] Significant community contributions The following contributors have made significant changes to the library over the last release: @vasqu [ Privacy Filter ] Add model ( #45580 ) Fix typos ( #45574 ) [ Conversion Mapping ] Small fixups ( #45483 ) 🚨 [ Kernels ] Fix kernel function registration ( #45420 ) [ Tokenizers ] Move gpt sw3 tokenizer out ( #45404 ) @rain-1 Add /v1/completions endpoint (OpenAI legacy completions API) to transformers serve ( #44558 ) @zhang-prog Updated the image cache for Paddle models according to the latest API ( #45562 ) [Model] Add SLANet Model Support ( #45532 ) Fix resize failure caused by zero-sized masks in PP-DocLayoutV3 ( #45281 ) @tarekziade fix table update versions ( #45544 ) qa: re-run modular converter when the script itself is modified ( #45528 ) Revert "Fix: modular image processors ( #45492 )" ( #45531 ) chore(qa): split out mlinter ( #45475 ) typing: rule 15 - checks for tie_word_embeddings presence ( #44988 ) fix: dont download artifacts from the test hub ( #45319 ) refactor(qa): extend extras so ty can run on server modules ( #45456 ) remove cache file from tree ( #45392 ) refactor: display test duration ( #45344 ) http retries on audio file downloads ( #45126 ) chore: added circleci python script to ruff and ty checkers ( #45339 ) tweak checkers output on errors ( #45163 ) fix: leak in tokenizer registry for test_processors ( #45318 ) chore: remove test_hub for now ( #45337 ) fix: hf-doc-builder insallation was failing ( #45225 ) @marvinzh add Qianfan-OCR model definition ( #45280 ) @remi-or [CB] Fix capture of max_seqlen ( #45323 ) [CB] Add per-request logits processors ( #45026 ) [CB] Tweaks to update and minor fixes ( #45179 ) @ydshieh Minor update ( #45484 ) Close file handler ( #45187 ) Add hasattr(torch.backends.cudnn, "conv") to conftest.py ( #45263 ) Fix SmolVLM video processor resize using wrong interpolation after backend refactor ( #45258 ) Fix Qwen2IntegrationTest ( #45268 ) empty ( #45261 ) Fix unexpected TF32 being enabled in testing ( #45252 ) Fix tf32 issue: set torch.backends.cudnn.conv.fp32_precision explicitly. ( #45248 ) Nvidia CI with torch 2.11 ( #45243 ) Update tiny model creation script ( #45241 ) Update get_test_info.py (related to tiny model creation) ( #45238 ) More fix for tiny model creation ( #45228 ) remove unnecessary entries in some auto model mappings ( #45224 ) @NielsRogge Add SAM3-LiteText ( #44320 ) @ArthurZucker Fix IndexError with DeepSpeed ZeRO-3 when kernels rotary is active ( #45414 ) Fix Kimi-K2.5 tokenizer regression and _patch_mistral_regex AttributeError ( #45359 ) Fix vllm cis ( #45139 ) Fix pypi release ( #45210 ) update to dev version 5.6.0-dev0 @JJJYmmm [inference_fusion] convert conv3d patch embed to linear ( #45041 ) @balvisio Add THD support in ESM ( #44145 ) @onwp Add Turkish (tr) translation for Get Started section ( #45158 )