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https://api.github.com/repos/huggingface/transformers/issues/41846 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41846/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41846/comments | https://api.github.com/repos/huggingface/transformers/issues/41846/events | https://github.com/huggingface/transformers/issues/41846 | 3,549,231,256 | I_kwDOCUB6oc7TjPiY | 41,846 | Incompatibility single-modality AutoProcessor and PEFT Adapter | {
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## Bug report overview
* I've encountered an incompatibility between `AutoProcessor` and PEFT Adapters
## Details
Straight to the point:
```python
from transformers import AutoProcessor, AutoModel
from peft import LoraConfig, TaskType
model_name = "google-bert/bert-base-uncased"
model = AutoModel.from_pretrai... | null | {
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"merged_at... | ## Description
This PR removes the deprecated `max_size` parameter from `ConditionalDetrImageProcessor.preprocess()` method.
## Fixes
Closes #37939
## Changes
- Removed `max_size` parameter from the `preprocess` method signature
- Removed all references to `max_size` in the method body
## Testing
- Ran ex... | {
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"merged_at... | # What does this PR do?
This PR fixes checkpoint saving for FSDPv2 (SPMD) on TPU by properly unwrapping nested FSDP wrappers before extracting the model state dict.
When using FSDPv2 on TPU, models have nested FSDP wrappers around each transformer layer. The previous implementation only unwrapped the top-level wr... | null | {
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"merged_at... | ## What does this PR fix?
This PR fixes the `test_eager_matches_fa2_generate` test failure for Qwen2Audio by using the `create_bidirectional_mask` utility function to properly handle attention masks across different attention implementations.
The Qwen2Audio model was manually creating a 4D attention mask with `-i... | {
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However, when loss is computed in the `training_step`, it is computed for each input in the batch one by one. Do... | null | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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"merged_at... | **Summary**
This pull request resolves multiple issues in the tokenizer parity testing script used to validate consistency between the slow (Python) and fast (Rust) tokenizers in the Hugging Face transformers library.
The changes correct dataset handling, fix incorrect API usage, and improve overall code clarity, p... | null | {
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We can run CircleCI with torch 2.9 + torchcodec 0.8 now, after a minor change in `src/transformers/video_utils.py`, which is discussed on slack
https://huggingface.slack.com/archives/C3PDTEV8E/p1761255740979019?thread_ts=1760709571.854159&cid=C3PDTEV8E
> please use the device=kwargs.ge... | {
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## Environment info
- `transformers` version: 4.44.2 (or your version)
- Platform: Linux (Ubuntu 22.04)
- Python version: 3.10.12
- PyTorch version (GPU?): 2.7.0+cu126
- Using GPU in script?: Yes (but export fails on CPU too)
- ONNX Runtime version: 1.18.0 (if applicable)
## Information
Model I ... | null | {
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"merged_at... | # What does this PR do?
This PR fixes an issue where saving a custom Processor that includes multiple sub-tokenizers of the same type caused them to overwrite each other during serialization.
The root cause was that all sub-components were being saved using the same default filenames, leading to collisions.
Th... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41836 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41836/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41836/comments | https://api.github.com/repos/huggingface/transformers/issues/41836/events | https://github.com/huggingface/transformers/pull/41836 | 3,547,401,414 | PR_kwDOCUB6oc6vaL6I | 41,836 | Remove redundant code from Qwen3VLProcessor | {
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As per title.
There are two identical lines assigning `video_grid_thw = videos_inputs["video_grid_thw"]` in `Qwen3VLProcessor.__call__()`. One of them can be safely removed for cleaner and more concise code.
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https://api.github.com/repos/huggingface/transformers/issues/41835 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41835/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41835/comments | https://api.github.com/repos/huggingface/transformers/issues/41835/events | https://github.com/huggingface/transformers/pull/41835 | 3,547,364,415 | PR_kwDOCUB6oc6vaD0- | 41,835 | Remove qwen3vl redundant code | {
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As per title.
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https://api.github.com/repos/huggingface/transformers/issues/41833 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41833/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41833/comments | https://api.github.com/repos/huggingface/transformers/issues/41833/events | https://github.com/huggingface/transformers/pull/41833 | 3,546,886,157 | PR_kwDOCUB6oc6vYcCT | 41,833 | extend fp_quant cases to xpu | {
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"merged_at... | w/ FP-Quant PR https://github.com/IST-DASLab/FP-Quant/pull/11 merged, all pseudoquant cases pass with triton kernel on XPU. For next-gen XPU which support native mxfp4/nvfp4, will upstream once they are ready. @ydshieh, pls help review, thx very much. | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41832 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41832/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41832/comments | https://api.github.com/repos/huggingface/transformers/issues/41832/events | https://github.com/huggingface/transformers/pull/41832 | 3,546,744,322 | PR_kwDOCUB6oc6vX8h4 | 41,832 | HF Trainer: ALST/Ulysses sequence parallelism integration via HF Accelerate | {
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"merged_at... | Integrates HF Accelerate's support for ALST/Ulysses sequence parallelism https://github.com/huggingface/accelerate/pull/3817 into HF Trainer
TODO:
- [ ] docs - no idea where? the FSDP/CP is not documented, or any parallelism for that matter.
- [x] tests
- [ ] need to merge https://github.com/huggingface/acceler... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41831 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41831/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41831/comments | https://api.github.com/repos/huggingface/transformers/issues/41831/events | https://github.com/huggingface/transformers/pull/41831 | 3,546,660,816 | PR_kwDOCUB6oc6vXqKG | 41,831 | extend bitnet cases to xpu, all 8 cases pass | {
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https://api.github.com/repos/huggingface/transformers/issues/41830 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41830/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41830/comments | https://api.github.com/repos/huggingface/transformers/issues/41830/events | https://github.com/huggingface/transformers/pull/41830 | 3,546,619,265 | PR_kwDOCUB6oc6vXg3K | 41,830 | fix continuous batching issues, extend ut cases to xpu | {
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https://api.github.com/repos/huggingface/transformers/issues/41829 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41829/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41829/comments | https://api.github.com/repos/huggingface/transformers/issues/41829/events | https://github.com/huggingface/transformers/pull/41829 | 3,546,599,379 | PR_kwDOCUB6oc6vXcdz | 41,829 | extend 2 trainer test cases to xpu | {
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https://api.github.com/repos/huggingface/transformers/issues/41828 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41828/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41828/comments | https://api.github.com/repos/huggingface/transformers/issues/41828/events | https://github.com/huggingface/transformers/pull/41828 | 3,545,987,066 | PR_kwDOCUB6oc6vVU2C | 41,828 | [`IGNORE`] Testing something | {
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https://api.github.com/repos/huggingface/transformers/issues/41827 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41827/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41827/comments | https://api.github.com/repos/huggingface/transformers/issues/41827/events | https://github.com/huggingface/transformers/pull/41827 | 3,545,762,116 | PR_kwDOCUB6oc6vUjkQ | 41,827 | [`Flash Attention`] Disable packed sequences with pos ids only during torch compile | {
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"merged_at... | Draft, only as a reference as what could be done. It would allow for full graph compile when using no attention mask.
Supported compile:
- Bsz 1
- No mask
- Before: No full graph, recompilations
- After: Full graph
- Attn mask
- Before: No full graph, recompilations
- After: No full graph,... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41826 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41826/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41826/comments | https://api.github.com/repos/huggingface/transformers/issues/41826/events | https://github.com/huggingface/transformers/issues/41826 | 3,545,702,940 | I_kwDOCUB6oc7TVyIc | 41,826 | Integrating TiledMLP for a much smaller memory footprint | {
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This technology comes from the Arct... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41825 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41825/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41825/comments | https://api.github.com/repos/huggingface/transformers/issues/41825/events | https://github.com/huggingface/transformers/pull/41825 | 3,545,683,166 | PR_kwDOCUB6oc6vURu9 | 41,825 | extend 2 blip2 and falcon_h1 test cases to xpu | {
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https://api.github.com/repos/huggingface/transformers/issues/41824 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41824/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41824/comments | https://api.github.com/repos/huggingface/transformers/issues/41824/events | https://github.com/huggingface/transformers/pull/41824 | 3,545,661,877 | PR_kwDOCUB6oc6vUM5b | 41,824 | Fix const parsing for dict inputs in chat schemas | {
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"merged_at... | Found one more bug in chat schemas and updated the tests to cover it! `const` nodes were not being handled correctly when the parent node had structured content.
This PR also moves `test_chat_schema_utils.py` to `test_chat_parsing_utils.py` to match the name of the actual file `utils/chat_parsing_utils.py`.
Tests... | {
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https://api.github.com/repos/huggingface/transformers/issues/41823 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41823/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41823/comments | https://api.github.com/repos/huggingface/transformers/issues/41823/events | https://github.com/huggingface/transformers/pull/41823 | 3,545,614,463 | PR_kwDOCUB6oc6vUCe7 | 41,823 | Lfm2-VL vllm | {
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"merged_at... | Fixes to integrate lfm2-vl into vllm
Currently on 4.57.1 due to cuda mp issues between transformers-dev + vllm-dev | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41822 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41822/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41822/comments | https://api.github.com/repos/huggingface/transformers/issues/41822/events | https://github.com/huggingface/transformers/issues/41822 | 3,545,475,100 | I_kwDOCUB6oc7TU6gc | 41,822 | Add links for issues labelled “Good First Issue” in the CONTRIBUTING guide | {
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https://api.github.com/repos/huggingface/transformers/issues/41821 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41821/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41821/comments | https://api.github.com/repos/huggingface/transformers/issues/41821/events | https://github.com/huggingface/transformers/pull/41821 | 3,545,407,671 | PR_kwDOCUB6oc6vTZKV | 41,821 | Share embedding modules in BART, not only weights | {
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"merged_at... | Embedding modules are now shared between encoder, decoder and shared - it is the same module, like in the T5 implementation.
This has the benefit that it does not matter which module is returned in `get_input_embeddings`, the caller of the latter can be sure that modifications done to that (e.g., hooks) apply to the... | {
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https://api.github.com/repos/huggingface/transformers/issues/41820 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41820/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41820/comments | https://api.github.com/repos/huggingface/transformers/issues/41820/events | https://github.com/huggingface/transformers/pull/41820 | 3,545,253,572 | PR_kwDOCUB6oc6vS7IH | 41,820 | Fix processor saving with multiple tokenizers | {
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"merged_at... | Resolves issue #41816
When a processor contains multiple tokenizers (or other sub-processors of the same type), they were overwriting each other during save due to using the same file names. This fix:
1. Saves each attribute in its own subdirectory named after the attribute name
2. Updates loading logic to check... | {
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https://api.github.com/repos/huggingface/transformers/issues/41819 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41819/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41819/comments | https://api.github.com/repos/huggingface/transformers/issues/41819/events | https://github.com/huggingface/transformers/issues/41819 | 3,545,203,594 | I_kwDOCUB6oc7TT4OK | 41,819 | IndexError: tuple index out of range when using Tensor Parallelism with FSDP2 on GPT-OSS 20B (tensor_parallel.py, line 510) | {
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- `transformers` version: 4.57.1
- Platform: Linux-5.15.92-2.el8.navix.ncc.x86_64-x86_64-with-glibc2.39
- Python version: 3.12.3
- Huggingface_hub version: 0.35.3
- Safetensors version: 0.5.2
- Accelerate version: 1.11.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch versi... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41818 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41818/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41818/comments | https://api.github.com/repos/huggingface/transformers/issues/41818/events | https://github.com/huggingface/transformers/pull/41818 | 3,545,171,317 | PR_kwDOCUB6oc6vSq1N | 41,818 | :rotating_light: Implement gradient checkpointing in GPTBigCode | {
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"merged_at... | Support for gradient checkpointing was lost in the major refactoring in PR #38635 and this is the attempt to re-add it.
I extended the tests to
- test `use_reentrant=True` and `False`
- make sure `model.train` is called so that gradient checkpointing works; this is a limiation of the tests currently used by GPTBig... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41817 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41817/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41817/comments | https://api.github.com/repos/huggingface/transformers/issues/41817/events | https://github.com/huggingface/transformers/pull/41817 | 3,545,014,762 | PR_kwDOCUB6oc6vSIk5 | 41,817 | add fuyu fast image processors | {
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"merged_at... | # What does this PR do?
This PR introduces FuyuImageProcessorFast, providing a faster alternative to the original FuyuImageProcessor by leveraging torchvision for image transformations.
Key changes include:
* Implementation of FuyuImageProcessorFast inheriting from BaseImageProcessorFast.
* Updates to tests/m... | null | {
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- `transformers` version: 4.57.1
- Platform: macOS-26.0.1-arm64-arm-64bit
- Python version: 3.12.2
- Huggingface_hub version: 0.34.3
- Safetensors version: 0.5.3
- Accelerate version: 1.10.1
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (accelerator?): 2.8.0 (NA... | {
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"merged_at... | # What does this PR do?
In #41690, we run each test (on each git bisect commit) 4 times to avoid the false positive being reported to specific team member.
However, when we check if a test passes on the commit of the current CI run (in the last job of checking bad commit) that failed in the same current run in th... | {
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https://api.github.com/repos/huggingface/transformers/issues/41814 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41814/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41814/comments | https://api.github.com/repos/huggingface/transformers/issues/41814/events | https://github.com/huggingface/transformers/issues/41814 | 3,544,638,730 | I_kwDOCUB6oc7TRuUK | 41,814 | AutoModel does not support Qwen3VLMoE | {
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- `transformers` version: 5.0.0.dev0
- Platform: Linux-5.14.0-570.42.2.el9_6.x86_64-x86_64-with-glibc2.34
- Python version: 3.10.18
- Huggingface_hub version: 1.0.0.rc6
- Safetensors version: 0.5.3
- Accelerate version: 1.10.1
- Accelerate config: not found
- DeepSpeed version: 0.18.0
- PyTorch vers... | null | {
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Basically it just doesn't work any model i use i get this:
```
2025-10-23 12:44:00.017829: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages be... | {
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https://api.github.com/repos/huggingface/transformers/issues/41812 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41812/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41812/comments | https://api.github.com/repos/huggingface/transformers/issues/41812/events | https://github.com/huggingface/transformers/pull/41812 | 3,544,480,218 | PR_kwDOCUB6oc6vQUWf | 41,812 | Fix invalid examples in QwenVL model docstrings and add Qwen3VL example | {
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"merged_at... | # What does this PR do?
This PR fixes the non-functional examples for Qwen2-VL and Qwen2.5-VL models, and adds a runnable example for Qwen3VL.
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https://api.github.com/repos/huggingface/transformers/issues/41811 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41811/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41811/comments | https://api.github.com/repos/huggingface/transformers/issues/41811/events | https://github.com/huggingface/transformers/pull/41811 | 3,544,028,495 | PR_kwDOCUB6oc6vOyiM | 41,811 | Add a safeguard around a flaky test in gemma2 | {
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"merged_at... | The test `tests/models/gemma2/test_modeling_gemma2.py::Gemma2IntegrationTest::test_model_2b_pipeline_bf16_flex_attention` is flaky because of the `_compile` flag at https://github.com/huggingface/transformers/blob/fe11cbb808b4301399240e40c5cb6cca9bb00d4d/src/transformers/masking_utils.py#L675
The issue is solved when ... | {
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https://api.github.com/repos/huggingface/transformers/issues/41810 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41810/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41810/comments | https://api.github.com/repos/huggingface/transformers/issues/41810/events | https://github.com/huggingface/transformers/issues/41810 | 3,543,743,446 | I_kwDOCUB6oc7TOTvW | 41,810 | How do you use t5gemma decoder with a different encoder? | {
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Here is the code:
```
model_1 = "WikiQuality/pre_filtered.am"
model_2 = "google/t5gemma-2b-2b-ul2"
encoder = AutoModel.from_pretrained(model_1)
decoder = AutoModel.from_pretrain... | null | {
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Inference with Qwen3-VL, num beam > 1 and video inputs failed:
```
[rank0]: File "/xx/python/transformers/src/transformers/trainer_seq2seq.py", line 255, in predict
[rank0]: return super().predict(test_dataset, ignore_keys=ignore_keys, metric_key_prefix=metric_key_prefix)
[rank0]: ^^^... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41808 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41808/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41808/comments | https://api.github.com/repos/huggingface/transformers/issues/41808/events | https://github.com/huggingface/transformers/pull/41808 | 3,543,626,930 | PR_kwDOCUB6oc6vNb2D | 41,808 | QwenVL: add skipped keys in `setattr` as well | {
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"merged_at... | # What does this PR do?
As per title, getattr and setattr skip different set of keys now
| null | {
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https://api.github.com/repos/huggingface/transformers/issues/41807 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41807/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41807/comments | https://api.github.com/repos/huggingface/transformers/issues/41807/events | https://github.com/huggingface/transformers/pull/41807 | 3,543,563,642 | PR_kwDOCUB6oc6vNOhS | 41,807 | git commit -m "Fix: corrected outdated documentation link in README.md" | {
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"merged_at... | This commit fixes a broken documentation link in the README file. The old link (https://huggingface.co/docs/transformers/index) returned a 404 error. It is now updated to the correct URL: https://huggingface.co/docs/transformers.
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/41806 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41806/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41806/comments | https://api.github.com/repos/huggingface/transformers/issues/41806/events | https://github.com/huggingface/transformers/pull/41806 | 3,543,487,212 | PR_kwDOCUB6oc6vM-cA | 41,806 | revert `_prepare_4d_causal_attention_mask_with_cache_position` for gpt2 | {
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"merged_at... | Hi @zucchini-nlp
The PR #39754 deleted `_prepare_4d_causal_attention_mask_with_cache_position` on gpt2, which caused 40% performance regression on CPU. You can reproduce it by
`numactl -C 0-7 --membind 0 python test.py`
```python
import time
import torch
from transformers import pipeline, set_seed, AutoToke... | {
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https://api.github.com/repos/huggingface/transformers/issues/41805 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41805/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41805/comments | https://api.github.com/repos/huggingface/transformers/issues/41805/events | https://github.com/huggingface/transformers/pull/41805 | 3,543,067,667 | PR_kwDOCUB6oc6vLu8c | 41,805 | make apollo test case pass | {
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"merged_at... | as in galore here https://github.com/huggingface/transformers/blob/main/tests/trainer/test_trainer.py#L2443, same change to make apollo test case `test_apollo_lr_display_without_scheduler` pass.
@ydshieh , pls help review, thx very much. | {
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https://api.github.com/repos/huggingface/transformers/issues/41804 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41804/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41804/comments | https://api.github.com/repos/huggingface/transformers/issues/41804/events | https://github.com/huggingface/transformers/pull/41804 | 3,542,814,283 | PR_kwDOCUB6oc6vK86b | 41,804 | T5 migration to new masking interface | {
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"merged_at... | # What does this PR do?
This PR migrates the T5 model to use the new masking utilities (`masking_utils.py`) for attention mask creation.
Fixes # (40743)
## Before submitting
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create-a-pull-r... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41803 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41803/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41803/comments | https://api.github.com/repos/huggingface/transformers/issues/41803/events | https://github.com/huggingface/transformers/issues/41803 | 3,542,743,890 | I_kwDOCUB6oc7TKftS | 41,803 | torch.compile graph break in `flash_attention_v2` backend | {
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Repro:
```python
import torch
from transformers import AutoModelForCausalLM
device = "cuda"
model_id = "TinyLlama/TinyLlama-1.1B-Chat-v1.0"
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype=torch.bfloat16,
attn_implementation="flash_attention_2",
).to(device).eval()
... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41802 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41802/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41802/comments | https://api.github.com/repos/huggingface/transformers/issues/41802/events | https://github.com/huggingface/transformers/pull/41802 | 3,542,471,047 | PR_kwDOCUB6oc6vJ1CO | 41,802 | Fixed some grammar mistakes | {
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"merged_at... | Added spaces between words, fixed a typo and other errors
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create-a-pull-re... | {
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https://api.github.com/repos/huggingface/transformers/issues/41801 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41801/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41801/comments | https://api.github.com/repos/huggingface/transformers/issues/41801/events | https://github.com/huggingface/transformers/pull/41801 | 3,542,469,312 | PR_kwDOCUB6oc6vJ0qZ | 41,801 | SDPA and FlashAttention-2 support for LayoutLMv3 | {
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"merged_at... | # What does this PR do?
Adds SDPA and FlashAttention-2 support to LayoutLMv3 following the same pattern as other models. Fully backward compatible.
SDPA converts masks to boolean format. FA2 uses `_upad_input` for variable-length sequences and avoids redundant unpads. Both fall back gracefully when needed. FA2 is... | {
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https://api.github.com/repos/huggingface/transformers/issues/41800 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41800/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41800/comments | https://api.github.com/repos/huggingface/transformers/issues/41800/events | https://github.com/huggingface/transformers/pull/41800 | 3,542,467,812 | PR_kwDOCUB6oc6vJ0Vx | 41,800 | Increasing clarity | {
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"merged_at... | added some missing things to increase clarity
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create-a-pull-request),
... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41799 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41799/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41799/comments | https://api.github.com/repos/huggingface/transformers/issues/41799/events | https://github.com/huggingface/transformers/pull/41799 | 3,542,466,391 | PR_kwDOCUB6oc6vJ0CO | 41,799 | Fixed grammar mistakes | {
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"merged_at... | fixed a couple grammar mistakes
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create-a-pull-request),
Pull Requ... | {
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https://api.github.com/repos/huggingface/transformers/issues/41798 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41798/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41798/comments | https://api.github.com/repos/huggingface/transformers/issues/41798/events | https://github.com/huggingface/transformers/pull/41798 | 3,542,407,849 | PR_kwDOCUB6oc6vJnW_ | 41,798 | p-less Sampling: A Robust Hyperparameter-Free Approach for LLM Decoding | {
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"merged_at... | # What does this PR do?
This PR contributes the _p_-less and _p_-less<sub>norm</sub> sampling methods for LLM decoding to the `model.generate` endpoint, the standard endpoint used for all other sampling methods such as top-_k_, top-_p_, etc. Like the other sampling methods, logits warpers are also created for _p_-less... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41797 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41797/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41797/comments | https://api.github.com/repos/huggingface/transformers/issues/41797/events | https://github.com/huggingface/transformers/pull/41797 | 3,542,377,367 | PR_kwDOCUB6oc6vJg0- | 41,797 | Add deepseek ocr | {
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"merged_at... | # What does this PR do?
As per title. Architecturally: Llava-next used as skeleton with a modified SamModel and a modified ClipVisionModel, keeping the deepseekV2 decoder untouched (using AutoModel) and changing using config only.
- [x] Working config + random weights init
- [x] Modular draft with subconfigs (t... | null | {
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This PR replaces hardcoded values `num_local_experts` and `hidden_size` in `MXFP4Config` for `GPT-OSS` type models.
I discovered this when experimenting with non-standard configs of GPT-OSS architecture but i'm pretty sure it'll break for openai/gpt-oss-120b as well since it's number of ex... | {
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https://api.github.com/repos/huggingface/transformers/issues/41794 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41794/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41794/comments | https://api.github.com/repos/huggingface/transformers/issues/41794/events | https://github.com/huggingface/transformers/pull/41794 | 3,541,310,894 | PR_kwDOCUB6oc6vF6T0 | 41,794 | Enable flake8-pie rules | {
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This PR enables all [flake8-pie](https://docs.astral.sh/ruff/rules/#flake8-pie-pie) rules in ruff. These rules are:
```
PIE790 Unnecessary pass statement
PIE794 Class field {name} is defined multiple times
PIE796 Enum contains duplicate value: {value}
PIE800 Unnecessary spread... | null | {
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"merged_at... | My bad - the [chat schema PR](https://github.com/huggingface/transformers/pull/40894) added some tests that were failing after my final commits, and I didn't realize because they weren't running in the CI for the PR.
The main problem was that I dropped support for `"type": "any"`, which is no longer part of the JSON... | {
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To avoid issues with detectron, the install is split from the rest of the pip install, and to support MI355 for flash attn, the gfx950 architecture was added to FA compilation.
I teste... | {
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https://api.github.com/repos/huggingface/transformers/issues/41791 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41791/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41791/comments | https://api.github.com/repos/huggingface/transformers/issues/41791/events | https://github.com/huggingface/transformers/pull/41791 | 3,540,914,446 | PR_kwDOCUB6oc6vEj65 | 41,791 | [`Onnx docs`] Remove some traces | {
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"merged_at... | Other langs docs are failing on main. This looked like the root cause | {
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https://api.github.com/repos/huggingface/transformers/issues/41790 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41790/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41790/comments | https://api.github.com/repos/huggingface/transformers/issues/41790/events | https://github.com/huggingface/transformers/pull/41790 | 3,540,888,824 | PR_kwDOCUB6oc6vEeYZ | 41,790 | Fix attention mask in mamba layers | {
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"merged_at... | # What does this PR do?
As per title. It was reported by LFM-VL team that the batched generation is outputting garbage with one of the checkpoints. I found that the masking is not being applied at all for mamba layers
Firstly, mamba layer do not have a 4D attention weight and thus need a normal attention in 2D. A... | {
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https://api.github.com/repos/huggingface/transformers/issues/41789 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41789/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41789/comments | https://api.github.com/repos/huggingface/transformers/issues/41789/events | https://github.com/huggingface/transformers/pull/41789 | 3,540,764,638 | PR_kwDOCUB6oc6vEDS7 | 41,789 | Use indices as position_ids in modernebert | {
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"merged_at... | Currently there is an issue in `modernbert` stemming from #39847 : the `rotary_emb` always passes `position_ids` as if it were a tensor, but when the implementation is flash it can be `None`. To avoid the error `None has no attributes .shape` we use `indices` as the `positions_ids` in the rotary embedding.
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https://api.github.com/repos/huggingface/transformers/issues/41788 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41788/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41788/comments | https://api.github.com/repos/huggingface/transformers/issues/41788/events | https://github.com/huggingface/transformers/pull/41788 | 3,540,713,784 | PR_kwDOCUB6oc6vD4M5 | 41,788 | fix type annotation typo in docstring | {
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"merged_at... | # What does this PR do?
This PR fix type annotation typo in docstring.
Fixes # (issue)
## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/... | {
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https://api.github.com/repos/huggingface/transformers/issues/41787 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41787/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41787/comments | https://api.github.com/repos/huggingface/transformers/issues/41787/events | https://github.com/huggingface/transformers/pull/41787 | 3,540,681,549 | PR_kwDOCUB6oc6vDxKL | 41,787 | Bump hfh prerelease v1.0.0.rc7 | {
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"merged_at... | Might be the last pre-release to test? :tada:
I don't expect anything to break but better safe than sorry :hugs:
(cc @hanouticelina) | null | {
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Skips FP8 tests when hardware capability is < 8.9 (nvidia 4090)
It's erroring in the CI with gpus 8.6 : https://github.com/huggingface/transformers/actions/runs/18703774699/job/53337972742 | {
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+ Simplified some functions | {
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- `transformers` version: 4.56.1
- Platform: Linux-6.8.0-85-generic-x86_64-with-glibc2.39
- Python version: 3.12.11
- Huggingface_hub version: 0.34.4
- Safetensors version: 0.5.3
- Accelerate version: 1.8.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (accelera... | {
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A first step toward making flash attn test again 🔥
@vasqu Do we really need to have both
@pytest.mark.flash_attn_test
@pytest.mark.flash_attn_3_test
or we can have only `@pytest.mark.flash_attn_test` which cover both? | {
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Fixing compressed_tensors related tests. Failling tests are passing locally | {
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As per title, after the last PR with RoPE refactoring, Qwen3-Omni model has issues when loading the model. One of the many sub-configs doesn't call standardization on RoPE which causes issues
I also updated slow tests with correct checkpoint, right now they use Omni-2 checkpoints and thus ... | null | {
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Fixes the deprecation of `int4_weight_only` deprecation in torchao>=0.14.0 https://github.com/pytorch/ao/pull/2994 | {
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"merged_at... | **Draft PR:** Core implementation complete. Seeking feedback on design and approach before finalizing. Thank you!
# What does this PR do?
Adds safety checking infrastructure for text generation. Provides base classes, configuration, and processors that integrate with the generation pipeline. Users implement their... | null | {
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```
$ pip show transformers
Name: transformers
Version: 4.57.1
Summary: State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Home-page: https://github.com/huggingface/transformers
Author: The Hugging Face team (past and future) with the help of all our contributors (https://github.com/hugg... | null | {
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## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create-a-pull-request),
Pull Request sectio... | null | {
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Improve ProcessorTestMixin to standardize processor tests, especially the setup part.
Requires https://github.com/huggingface/transformers/pull/41633 | null | {
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This PR adds a comprehensive safety checking infrastructure for text generation, enabling built-in content moderation similar to production LLMs (ChatGPT, Gemini, Claude).
## Issue
Open-source text generation models lack built-in safety moderation infrastructure. While production LLMs h... | {
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Add clear error message when LlamaTokenizer fails to load because vocab_file is None, which typically happens when optional dependencies like mistral-common are not installed.
This provides users with:
- Clear explanation of why the error occurred
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This PR fixes a potential `IndexError` and inconsistent initialization behavior that can occur during DeepSpeed initialization (`set_zero3_state`) and model weight setup (`initialize_weights`).
Added conditional statement to resolve issue.
@3outeille @ArthurZucker | {
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"merged_at... | ## Performance Optimization
This PR optimizes two major performance bottlenecks in the transformers library:
### 🔍 Problems Identified
1. **Aria MoE Sequential GEMM**: The sequential_experts_gemm function used inefficient sequential processing for expert computations
2. **Jamba Mamba Slow Forward**: The slow... | {
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"merged_at... | # What does this PR do?
Fixes bugs in the Gemma 3 weights conversion script:
* Looking for multi-modal projector weights at the wrong location
* Had the wrong prefix on the vision model weights
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's ... | {
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"merged_at... | # What does this PR do?
This PR resolves a TypeError that occurs when loading models with LoRA adapters (like ibm-granite/granite-speech-3.3-2b).
## Issue
When calling `AutoModelForSpeechSeq2Seq.from_pretrained()` on models with LoRA adapters, the following error occurs:
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Adds tests for kernels, and proper daily CI, and slack notifications
run example : https://github.com/huggingface/transformers/actions/runs/18688016017/job/53285883834 | null | {
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"merged_at... | Fix logic error in `prepare_inputs_for_generation` cache slicing condition:
> TypeError: 'NoneType' object is not subscriptable
### Background
I think the PR
- #41505
introduced a logic error where the condition for calling `_cache_dependant_input_preparation` uses `is None` instead of `is not None`, causi... | null | {
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transformers=4.57.1
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction... | {
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- `transformers` version: 4.57.0.dev0
- Platform: Linux-5.14.0-503.23.1.el9_5.x86_64-x86_64-with-glibc2.34
- Python version: 3.10.15
- Huggingface_hub version: 1.0.0.rc5
- Safetensors version: 0.4.5
- Accelerate version: 1.10.1
- Accelerate config: not found
- DeepSpeed version: 0.17.5
- PyTorch ver... | null | {
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Adds a minimal moderation subsystem and generation-time integration to support content filtering during text generation.
Introduces a small, opt-in API so callers can supply custom safety/classifier implementations that run during generation.
Fixes # (41740)
## Before submitting
- [ ] Thi... | {
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Fixes the issue where if you save the config and load it again it would return the incorrect model_type .
Minor fix in __getattribute__ method of the config class for both models .
Fixes # 41746
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss t... | {
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"merged_at... | Fix CUDA index out of bounds error that occurs during generation with static caches when using token type IDs for bidirectional image attention masking.
### Background
After PR
- #41505
changed cache initialization behavior in `generate()`, a **latent bug in the VLM masking code was exposed**. The error mani... | {
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- `transformers` version: 4.56.2
- Platform: Linux-5.4.0-144-generic-x86_64-with-glibc2.31
- Python version: 3.12.4
- Huggingface_hub version: 0.35.3
- Safetensors version: 0.6.2
- Accelerate version: 1.10.1
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (acceler... | null | {
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"merged_at... | Fixing swapped rows and columns that were resulting in incorrect positional special tokens. Fixed integration tests on the modeling file.
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* Also fixed the existing pytree registration which triggers [lazy_initialization](https://github.com/huggingface/transformers/blob/9aab965b1e61d92d402809bd467c317ec464e560/src/transformers/cache_utils.py#L94-L95). This should... | null | {
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Please port for MPS acceleration on MacOS.
### Motivation
Please port for MPS acceleration on MacOS.
### Your contribution
I can give you a happy comment if you help. | null | {
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# What does this PR do?
<!--
GenerationConfig: Added optional safety_config kwarg to carry a user-defined safety configuration or factory. Stopping criteria: Introduced SafetyCriteria to allow user-provided callbacks to stop generation based on input_ids/scores. GenerationMixin integration:
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Previously, the `Gemma3nTextAttention` class removed the `self.scaling` property and passed 1.0 as a hard-coded value to the `attention_interface()` function.
This PR reinstates the `self.scaling` property, sets it to 1.0, and passes `self.scaling` to the `attention_interface()` function ... | null | {
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- A causal mask (normal triu mask)
- A padding mask (encoder mask == only accounting for padding)
- Add both of above == final mask --> causal mask with padding
^ works only for interfaces with support for 4D masks which disabled FA usage in general.
This PR... | {
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This PR replaces `Tensor.new_tensor()` calls to suppress warning that users cannot address. This allows users to avoid being confused by warnings they cannot act on, making it easier for them to focus on meaningful warnings.
More specifically, when calling the `EncoderDecoderModel` forward... | {
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"merged_at... | Remove invalid staticmethod decorator from module-level function `get_device_and_memory_breakdown`.
This PR removes an incorrect @staticmethod decorator applied to the module-level function `get_device_and_memory_breakdown`.
The decorator caused a runtime error on Python 3.9, even though it appeared to work fine ... | {
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