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https://api.github.com/repos/huggingface/transformers/issues/41242 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41242/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41242/comments | https://api.github.com/repos/huggingface/transformers/issues/41242/events | https://github.com/huggingface/transformers/pull/41242 | 3,471,598,613 | PR_kwDOCUB6oc6rc7YO | 41,242 | [torchao] Add regex support for ModuleFqnToConfig | {
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Similar to https://github.com/pytorch/ao/pull/3084 we added regex support in transformers so people can use regex to quantize the models.
See https://github.com/pytorch/ao/pull/3084 for docs and precedence of different configurations
Uploaded model: https://huggingface.co/torchao-testing/opt-125m-Module... | {
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This PR changes `math.log(XXX, 2)` to `math.log2(XXX)`, to make the invocation more clear. | {
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To simplify code | {
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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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python 3.12, transformers >4.45
### Who can help?
@Cyrilvallez @gante @zucchini-nlp
### 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 ... | {
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"merged_at... | when run `TrainerIntegrationDeepSpeed` cases like `pytest -rA tests/deepspeed/test_deepspeed.py::TrainerIntegrationDeepSpeed::test_can_resume_training_normal_zero2_bf16_ds_optim_ds_scheduler`, it will fail w/
> if "optimizer" in config:
> if args.adafactor:
> E AttributeError: 'Regressi... | {
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recover data state ,not only model state , i wish i said my request clearly .
how to use accelerate + transforme... | null | {
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This PR bump min version of accelerate to 1.1.0. This should be safe as trl already bump it to 1.4.0. | {
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This PR removes all the checks for safetensors availability as safetensors became a core dep of transformers 2 years ago | {
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Adding a kernel config in `from_pretrained` to allow users to use custom kernels. This requires though that the layer is already registered to be used with kernels like `RMSNorm`. Other prs will follow to allow to register kernels without doing that in the modeling.
For `RMSNorm` it looks li... | {
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Updates the script:
- Fixes hub usage bugs;
- Stop counting downloads after hitting thresholds, to spare the hub from requests;
- Better prints, so it doesn't seem like the script has hung.
- Add support for aliases and folder<>model_tag mapping | {
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https://api.github.com/repos/huggingface/transformers/issues/41230 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41230/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41230/comments | https://api.github.com/repos/huggingface/transformers/issues/41230/events | https://github.com/huggingface/transformers/issues/41230 | 3,469,897,793 | I_kwDOCUB6oc7O0nBB | 41,230 | Consider forking and maintaining pyctcdecode or switch to torchaudio.models.decoder | {
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transformers[torch-speech]==4.56.2
pyannote-audio==4.0.0
### Who can help?
@Rocketknight1
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [x] My own task or datas... | null | {
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This PR fixes a timestamp placeholder error that occurs when multiple videos are included in a single text input.
In `Qwen3-VLProcessor,` frames are sampled from videos, and the relative timestamp placeholder `<{curr_time:.1f} seconds>` is constructed for each frame to indicate its correspon... | {
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"merged_at... | It was reporedt in #41184 that the sliding window attention mask has errors in CB. This PR fixes this and adds a test for the `build_attention_mask` function, so it does not happen again.
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https://api.github.com/repos/huggingface/transformers/issues/41227 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41227/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41227/comments | https://api.github.com/repos/huggingface/transformers/issues/41227/events | https://github.com/huggingface/transformers/pull/41227 | 3,469,477,927 | PR_kwDOCUB6oc6rVrRa | 41,227 | Unify is_torchvision_v2_available with is_torchvision_available | {
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The minimum recommended torchvision version for torch 2.2 is 0.17 . | {
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https://api.github.com/repos/huggingface/transformers/issues/41226 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41226/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41226/comments | https://api.github.com/repos/huggingface/transformers/issues/41226/events | https://github.com/huggingface/transformers/pull/41226 | 3,469,427,789 | PR_kwDOCUB6oc6rVhBr | 41,226 | Remove old Python code | {
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Remove code for python < 3.10 | {
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https://api.github.com/repos/huggingface/transformers/issues/41225 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41225/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41225/comments | https://api.github.com/repos/huggingface/transformers/issues/41225/events | https://github.com/huggingface/transformers/pull/41225 | 3,469,424,312 | PR_kwDOCUB6oc6rVgd3 | 41,225 | [voxtral] language detection + skipping lang:xx | {
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Adds the possibility of setting `language=None` in `apply_transcription_request` for automatic language detection.
> [!NOTE]
> This is **not** breaking. Instead of being required, `language` is now optional.
It was a bit hidden, but Voxtral supports language detection by omitting the... | {
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https://api.github.com/repos/huggingface/transformers/issues/41224 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41224/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41224/comments | https://api.github.com/repos/huggingface/transformers/issues/41224/events | https://github.com/huggingface/transformers/pull/41224 | 3,469,324,369 | PR_kwDOCUB6oc6rVMnE | 41,224 | Add DINOv3ViTForImageClassification support | {
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https://api.github.com/repos/huggingface/transformers/issues/41223 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41223/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41223/comments | https://api.github.com/repos/huggingface/transformers/issues/41223/events | https://github.com/huggingface/transformers/pull/41223 | 3,469,317,217 | PR_kwDOCUB6oc6rVLS7 | 41,223 | 🚨 [v5] remove deprecated `generate` classes (constraints and beam scorers) | {
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The decoding methods using these classes were recently moved to the hub, and these classes were deprecated. They were scheduled to be removed in minor versions that won't exist, so they get tagged as v5 removals :)
(cc @manueldeprada ) | {
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https://api.github.com/repos/huggingface/transformers/issues/41222 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41222/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41222/comments | https://api.github.com/repos/huggingface/transformers/issues/41222/events | https://github.com/huggingface/transformers/pull/41222 | 3,469,312,199 | PR_kwDOCUB6oc6rVKbR | 41,222 | Fix pylint warnings | {
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More fixes | {
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https://api.github.com/repos/huggingface/transformers/issues/41221 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41221/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41221/comments | https://api.github.com/repos/huggingface/transformers/issues/41221/events | https://github.com/huggingface/transformers/pull/41221 | 3,469,159,344 | PR_kwDOCUB6oc6rUs7_ | 41,221 | update code owners | {
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Have to do this now | {
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https://api.github.com/repos/huggingface/transformers/issues/41220 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41220/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41220/comments | https://api.github.com/repos/huggingface/transformers/issues/41220/events | https://github.com/huggingface/transformers/pull/41220 | 3,469,138,138 | PR_kwDOCUB6oc6rUoYF | 41,220 | Align pull request template to bug report template | {
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"merged_at... | # What does this PR do?
Align pull request template to bug report template: https://github.com/huggingface/transformers/blob/main/.github/ISSUE_TEMPLATE/bug-report.yml?plain=1
Follow-up of #40881 by @ArthurZucker
The only difference is that I don't refer users to https://discuss.huggingface.co/ for hub issues, as... | {
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https://api.github.com/repos/huggingface/transformers/issues/41219 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41219/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41219/comments | https://api.github.com/repos/huggingface/transformers/issues/41219/events | https://github.com/huggingface/transformers/pull/41219 | 3,469,093,044 | PR_kwDOCUB6oc6rUee4 | 41,219 | Add missing ModelOutput subclass return type hints | {
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"merged_at... | # What does this PR do?
This PR adds missing ModelOutput subclass return type hints. I'm running an analysis on the Model classes to see what kind of outputs are used for the various modalities, and I noticed a handful of architectures were missing them.
## Before submitting
- [ ] This PR fixes a typo or improve... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41218 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41218/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41218/comments | https://api.github.com/repos/huggingface/transformers/issues/41218/events | https://github.com/huggingface/transformers/pull/41218 | 3,469,051,411 | PR_kwDOCUB6oc6rUVaN | 41,218 | Video processor accepts single frames on cuda | {
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Fixes https://github.com/huggingface/transformers/issues/40867 and allows input videos to be a "3D tensor on cuda device" | {
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https://api.github.com/repos/huggingface/transformers/issues/41217 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41217/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41217/comments | https://api.github.com/repos/huggingface/transformers/issues/41217/events | https://github.com/huggingface/transformers/pull/41217 | 3,469,016,040 | PR_kwDOCUB6oc6rUNd4 | 41,217 | [`FA3`] Fix masking and loading logic in same process | {
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"merged_at... | There are 2 issues that are addressed
1. Fa3 did not use any masking
- Now registered correctly
- Tested indirectly in a rewritten parity check between fa2 and fa3 that already exists
2. Loading logic for anything fa related - kernels, fa2, fa3 - did not work in the same process: Only the first loaded fa v... | {
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https://api.github.com/repos/huggingface/transformers/issues/41216 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41216/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41216/comments | https://api.github.com/repos/huggingface/transformers/issues/41216/events | https://github.com/huggingface/transformers/pull/41216 | 3,468,860,628 | PR_kwDOCUB6oc6rTrES | 41,216 | [generate] cache missing custom generate file | {
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"merged_at... | # What does this PR do?
Reorders code in `load_custom_generate` such that we load the `.py` file first, and check whether it is to be used later. This way, we can cache the result of the Hub request even when the file doesn't exist.
⚠️ Since we try to load `custom_generate` at model-loading time, this results in ... | {
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https://api.github.com/repos/huggingface/transformers/issues/41215 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41215/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41215/comments | https://api.github.com/repos/huggingface/transformers/issues/41215/events | https://github.com/huggingface/transformers/pull/41215 | 3,468,858,562 | PR_kwDOCUB6oc6rTql4 | 41,215 | Fix CLIP memory leak causing 600-800MB accumulation per batch | {
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"merged_at... | # What does this PR do?
This PR fixes a critical memory leak in CLIP model's `get_image_features` and `get_text_features` methods that was causing significant memory accumulation during repeated inference calls.
## Problem
When using CLIP models for batch processing (e.g., in microservices), repeated calls to ... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41214 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41214/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41214/comments | https://api.github.com/repos/huggingface/transformers/issues/41214/events | https://github.com/huggingface/transformers/pull/41214 | 3,468,737,197 | PR_kwDOCUB6oc6rTPaM | 41,214 | [V5] Remove deprecated transformers.onnx | {
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Remove the source files, doc and the dependencies. | {
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https://api.github.com/repos/huggingface/transformers/issues/41213 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41213/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41213/comments | https://api.github.com/repos/huggingface/transformers/issues/41213/events | https://github.com/huggingface/transformers/issues/41213 | 3,468,604,282 | I_kwDOCUB6oc7OvrN6 | 41,213 | Qwen3_Omni error inference transformer 4.57.0.dev | {
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There is inference demo from the qwen_omni following the command
`https://github.com/QwenLM/Qwen3-Omni/blob/main/web_demo.py`
and below is error.
Trnasformer version is 4.57.0.dev directly cloned and installed.
and model used have been below
`https://huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Instru... | {
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https://api.github.com/repos/huggingface/transformers/issues/41212 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41212/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41212/comments | https://api.github.com/repos/huggingface/transformers/issues/41212/events | https://github.com/huggingface/transformers/pull/41212 | 3,468,555,904 | PR_kwDOCUB6oc6rSm-2 | 41,212 | Add EoMT with DINOv3 backbone | {
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"merged_at... | # What does this PR do?
This PR adds EoMT with a DINOv3 backbone. The authors of EoMT released new checkpoints which swap the DINOv2 backbone by the newer DINOv3: https://github.com/tue-mps/eomt/blob/master/model_zoo/dinov3.md
## Disclaimer
This PR was implemented using OpenAI Codex and further improved by me.... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41211 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41211/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41211/comments | https://api.github.com/repos/huggingface/transformers/issues/41211/events | https://github.com/huggingface/transformers/issues/41211 | 3,468,498,317 | I_kwDOCUB6oc7OvRWN | 41,211 | Add DEIMv2 | {
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It would be nice to integrate DEIMv2, a new state-of-the-art model for real-time object detection based on DINOv3. The weights are released under Apache 2.0.
Related thread: https://github.com/Intellindust-AI-Lab/DEIMv2/issues/20
### Open source status
- [x] The model implementation is availab... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41210 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41210/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41210/comments | https://api.github.com/repos/huggingface/transformers/issues/41210/events | https://github.com/huggingface/transformers/issues/41210 | 3,468,216,779 | I_kwDOCUB6oc7OuMnL | 41,210 | Qwen3-Next tokenizer fails to apply chat template for openai-style message inputs | {
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```
transformers env
- `transformers` version: 4.56.2
- Platform: Linux-5.4.0-1150-aws-fips-x86_64-with-glibc2.31
- Python version: 3.11.13
- Huggingface_hub version: 0.35.1
- Safetensors version: 0.6.2
- Accelerate version: not installed
- Accelerate config: not found
- DeepSpeed version: not installe... | {
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https://api.github.com/repos/huggingface/transformers/issues/41209 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41209/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41209/comments | https://api.github.com/repos/huggingface/transformers/issues/41209/events | https://github.com/huggingface/transformers/issues/41209 | 3,468,183,884 | I_kwDOCUB6oc7OuElM | 41,209 | Why it's easy to get nan for A_log in Qwen3Next | {
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main branch to use Qwen3Next
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [x] My own task or dataset (give details below)
### Repr... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41208 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41208/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41208/comments | https://api.github.com/repos/huggingface/transformers/issues/41208/events | https://github.com/huggingface/transformers/issues/41208 | 3,468,029,235 | I_kwDOCUB6oc7Ote0z | 41,208 | Integrate mamba SSM kernels from the hub | {
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Currently, mamba kernels are imported via the main source package ex, for [GraniteMoeHybrid](https://github.com/huggingface/transformers/blob/main/src/transformers/models/granitemoehybrid/modeling_granitemoehybrid.py#L44-L46)
Can we migrate this to use the kernels-hub (`kernels-community/mamba-ssm... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41207 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41207/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41207/comments | https://api.github.com/repos/huggingface/transformers/issues/41207/events | https://github.com/huggingface/transformers/pull/41207 | 3,467,969,717 | PR_kwDOCUB6oc6rQm8h | 41,207 | Avoid assumption that model has config attribute in deepspeed | {
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"merged_at... | # What does this PR do?
This avoids the assumption that a model has a `config` attribute, which results in a cleaner error message for downstream usage of the Trainer, e.g. with Sentence Transformers. Specifically, it would help with https://github.com/UKPLab/sentence-transformers/issues/3531
## Before submitting... | {
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- `transformers` version: 4.56.1
- Platform: Linux-5.14.0-503.40.1.el9_5.x86_64-x86_64-with-glibc2.34
- Python version: 3.12.11
- Huggingface_hub version: 0.35.0
- Safetensors version: 0.5.3
- Accelerate version: 1.10.1
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch vers... | {
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This PR fixes a timestamp placeholder error that occurs when multiple videos are included in a single text input.
In `Qwen3-VLProcessor`, frames are sampled from videos, and the relative timestamp placeholder `"<{curr_time:.1f} seconds>"` is constructed for each frame to indicate its corre... | {
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https://api.github.com/repos/huggingface/transformers/issues/41203 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41203/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41203/comments | https://api.github.com/repos/huggingface/transformers/issues/41203/events | https://github.com/huggingface/transformers/issues/41203 | 3,465,917,535 | I_kwDOCUB6oc7OlbRf | 41,203 | [audio] standardization tracker | {
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_**to be updated...**_
<img width="2000" height="1000" alt="Image" src="https://github.com/user-attachments/assets/383bcebd-0e98-4af1-a076-473e3f7c41f4" />
Efforts:
- [ ] #41202 | null | {
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This PR standardizes audio-related kwargs naming across the library to ensure future integrations follow consistent best practices.
A dedicated decorator is introduced to maintain backward compatibility, with an INFO-level log message for visibility.
> [!NOTE]
> While renaming `inp... | null | {
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As per title | {
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This PR fixes some code related to 8-bit models that was changed during a recent refactor https://github.com/huggingface/transformers/pull/41138. The issue was that `SCB` value was actually modified when moving the param from cpu to cuda. | {
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High-level implementation details:
- This is a GQA + local/global sliding window attention model
- Implemented in HF Llama3 + interleaved sliding window attention
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As the title says | {
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At least support the config, which can be found in https://huggingface.co/deepseek-ai/DeepSeek-V3.2-Exp/blob/main/config.json
### Motivation
So we can natively use the model config from HF to deploy DeepSeek-V3.2 in SGLang without a hacky patch.
### Your contribution
Only support the config cla... | null | {
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To simplify device related code. | {
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Don't convert to `safetensors` on the fly if the call is from testing | {
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https://api.github.com/repos/huggingface/transformers/issues/41192 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41192/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41192/comments | https://api.github.com/repos/huggingface/transformers/issues/41192/events | https://github.com/huggingface/transformers/pull/41192 | 3,463,430,665 | PR_kwDOCUB6oc6rBLTV | 41,192 | Fix Qwen3-Omni audio_token_id serialization issue | {
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"merged_at... | # What does this PR do?
This PR fixes a critical bug in Qwen3-Omni model configuration where `audio_token_id` was not properly preserved during `save_pretrained`/`from_pretrained` operations, causing incorrect inference results in training scenarios.
## Problem
When using `save_pretrained()` followed by `from_... | {
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https://api.github.com/repos/huggingface/transformers/issues/41191 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41191/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41191/comments | https://api.github.com/repos/huggingface/transformers/issues/41191/events | https://github.com/huggingface/transformers/issues/41191 | 3,463,240,542 | I_kwDOCUB6oc7ObNte | 41,191 | [BUG] Qwen3-Omni: save_pretrained causes abnormal audio_token_id, leading to incorrect inference (in training scenario) | {
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```
MODEL_PATH = "Qwen/Qwen3-Omni-30B-A3B-Instruct"
a = AutoConfig.from_pretrained(MODEL_PATH)
a.save_pretrained('abcd')
b = AutoConfig.from_pretrained('abcd')
print(f'a.thinker_config.audio_token_id: {a.thinker_config.audio_token_id}')
print(f'b.thinker_config.audio_token_id: {b.thinker_config.audio_token_id}')
asse... | {
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This is an issue since v4.55.1
### Who can help?
@zucchini-nlp
### 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)
### R... | {
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- `transformers` version: 4.57.0.dev0
- platform: linux-5.10.102.1-microsoft-standard-wsl2-x86_64-with-glibc2.31
- python version: 3.12.11
- huggingface_hub version: 1.0.0.rc1
- safetensors version: 0.5.3
- accelerate version: 1.9.0
- accelerate config: not found
- deepspeed version: 0.17.6
- pytorc... | {
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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.
Then, please replace this w... | {
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 | {
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https://api.github.com/repos/huggingface/transformers/issues/41186 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41186/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41186/comments | https://api.github.com/repos/huggingface/transformers/issues/41186/events | https://github.com/huggingface/transformers/issues/41186 | 3,461,018,646 | I_kwDOCUB6oc7OSvQW | 41,186 | Qwen2.5-VL restore tensor multi-image form | {
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Hello, I have recently been experimenting with qwen2.5-vl (https://github.com/huggingface/transformers/blob/v4.52-release/src/transformers/models/qwen2_5_vl/modeling_qwen2_5_vl.py). I noticed that multiple images are pre-merged here,
```
image_embeds = self.get_image_features(pixel_values, image_grid_thw)
```
but I w... | null | {
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When running
Setting `pad_token_id` to `eos_token_id`:None for open-end generation.
### 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, ...)
- [... | {
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- `transformers` version: 4.57.0.dev0
- Platform: Linux-6.8.0-52-generic-x86_64-with-glibc2.35
- Python version: 3.11.11
- Huggingface_hub version: 1.0.0.rc1
- Safetensors version: 0.6.2
- Accelerate version: 1.10.1
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version ... | {
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https://api.github.com/repos/huggingface/transformers/issues/41183 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41183/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41183/comments | https://api.github.com/repos/huggingface/transformers/issues/41183/events | https://github.com/huggingface/transformers/pull/41183 | 3,458,364,379 | PR_kwDOCUB6oc6qwggh | 41,183 | Trainer: Pass `num_items_in_batch` to `compute_loss` in `prediction_step` | {
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"merged_at... | # What does this PR do?
Ensures that `num_items_in_batch` is passed to the `compute_loss` function in the `prediction_step` to ensure that loss is calculated the same way both at train and eval time.
<!-- Remove if not applicable -->
Fixes #41108
## Before submitting
- [ ] This PR fixes a typo or improv... | {
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"merged_at... | # What does this PR do?
This feature aims to enable the GLM-4.1V model to support 4D input mrope processing. It supports the same input format as Qwen3 in verl.
verl pr: https://github.com/volcengine/verl/pull/3291 | {
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I did the following
- run the tests
- collect the calls to `from_pretrained`
- run those `from_pretrained` calls within our CircleCI docker image build
- upload the `~/.cache/huggingface/hub` to a hub repository `hf-internal-testing/hf_hub_cache`
- during CircleCI runtime, download, un... | {
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Despite issue #40136 being marked as resolved, the significant accuracy regression in `Qwen2.5-VL-7B-Instruct` model persists in the latest Transformers version `4.56.2`. Our testing shows a more significant drop ~26% relative accuracy drop on MMMU Literature benchmark that was reported in the original issu... | null | {
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```bash
Package Version
---------------------------------- ----------------------------
accelerate 1.10.0
datasets 4.0.0
flash-attn-3 3.0.0b1+cu.12.8.torch.2.7
huggingface-hub 0.34.4
tr... | null | {
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Model runs on CPU+RAM. Ryzen 6800H, 14 GB DDR5, Host system: Fedora 41, Docker base image: python:3.13.7
FastAPI microservice is deployed in docker with these requirements:
fastapi==0.117.1
huggingface-hub==0.35.1
numpy==2.3.3
pillow==11.3.0
pydantic==2.11.9
python-multipart==0.0.20
requests==2.32.4
... | null | {
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As the title says.
## 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),
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As per title, let's clean up for v5
These were supposed to be deleted anyway and we had the warning logged for a long time, even before I joined. Feature Extractors are now reserved for audio models only | {
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Attempt to fix https://github.com/huggingface/transformers/issues/41093. I believe that the `is_prefill()` logic had edge cases which were caught in the linked issue. Let's remove it since the position ids are also prepared in `prepare_inputs_for_generation`. | {
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Fix latex, markdown `*` escaping and white space. Some errors in the content are also fixed.
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Can you please share the full PyTorch implementation of the LFM2-VL model so it will be possible to not rely on transformers (and also would be helpful for building custom models)?
Thanks! | {
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Some stats:
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Fixes #41164
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create-a-pull-request),
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Improve the script to automatically add dates in the model doc files.
One big issue was that the script was checking for the first commit merged into main to get the transformers release dates, but that can't work for new models. So now if the model is not on main (new model), we use today's... | {
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This PR removes deprecates code related to `model_parallel` feature in the modeling as well as in Trainer. This was a feature that was added only for a few models like t5 and gpt2 but eventually we switched to using device_map and tp now.
For the models, we removes `is_parallelizable` and `mo... | {
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This PR deprecates `num_train_tokens` as we already have `include_num_input_tokens_seen` that is better supported. | {
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https://api.github.com/repos/huggingface/transformers/issues/41163 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41163/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41163/comments | https://api.github.com/repos/huggingface/transformers/issues/41163/events | https://github.com/huggingface/transformers/pull/41163 | 3,453,599,470 | PR_kwDOCUB6oc6qgdpI | 41,163 | :rotating_light: [`DistilBert`] Refactor Attention | {
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"merged_at... | Same as in bert models, refactor to the attn interface + several other utilities (output xxx, kwargs, ...). It didn't have any dependency on bert which is why this was missed. Should enable vLLM support on our side
cc @hmellor @ArthurZucker | {
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https://api.github.com/repos/huggingface/transformers/issues/41162 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41162/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41162/comments | https://api.github.com/repos/huggingface/transformers/issues/41162/events | https://github.com/huggingface/transformers/pull/41162 | 3,453,424,864 | PR_kwDOCUB6oc6qf5_F | 41,162 | Add Sinhala (සිංහල) translation of README | {
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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.
Then, please replace this w... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41161 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41161/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41161/comments | https://api.github.com/repos/huggingface/transformers/issues/41161/events | https://github.com/huggingface/transformers/pull/41161 | 3,453,393,190 | PR_kwDOCUB6oc6qfzHg | 41,161 | [v5] Remove old sagemaker api support | {
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This PR cleans a bit the sagemaker code. We remove code related to the old sagemaker API (<1.10) as it is 5 years old. In our setup file, the recommended version is >2.0 also. | {
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https://api.github.com/repos/huggingface/transformers/issues/41160 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41160/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41160/comments | https://api.github.com/repos/huggingface/transformers/issues/41160/events | https://github.com/huggingface/transformers/pull/41160 | 3,453,308,299 | PR_kwDOCUB6oc6qfg5T | 41,160 | [docs] update tips syntax | {
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https://api.github.com/repos/huggingface/transformers/issues/41159 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41159/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41159/comments | https://api.github.com/repos/huggingface/transformers/issues/41159/events | https://github.com/huggingface/transformers/pull/41159 | 3,453,090,399 | PR_kwDOCUB6oc6qexqh | 41,159 | Support setting total_train_batch_size. | {
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"merged_at... | # What does this PR do?
Set a fixed total_batch_size by adjusting gradient_accumulation_steps. This is extremely useful in elastic training.
## 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](... | null | {
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Fixes https://github.com/huggingface/transformers/issues/41020 and ensures constency in Qwen-VL text config. Side note: prev we had flat dict structure in Qwen and for BC passed kwargs to `super()` and to `text_config`. This caused confusion in TRL which apparently resets some text attributes... | {
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https://api.github.com/repos/huggingface/transformers/issues/41157 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41157/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41157/comments | https://api.github.com/repos/huggingface/transformers/issues/41157/events | https://github.com/huggingface/transformers/pull/41157 | 3,452,816,339 | PR_kwDOCUB6oc6qd2Bh | 41,157 | Fix white space in documentation | {
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"merged_at... | # What does this PR do?
As the title says.
## 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),
... | {
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https://api.github.com/repos/huggingface/transformers/issues/41156 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41156/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41156/comments | https://api.github.com/repos/huggingface/transformers/issues/41156/events | https://github.com/huggingface/transformers/pull/41156 | 3,452,796,544 | PR_kwDOCUB6oc6qdxp3 | 41,156 | Fix inaccurate train_tokens_per_second when resuming from checkpoint | {
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"merged_at... | # Fix inaccurate `train_tokens_per_second` when resuming from checkpoint
## What does this PR do?
This PR addresses the issue where `train_tokens_per_second` calculates incorrectly when resuming training from a checkpoint.
### Problem Background
Previously, `speed_metrics` used the **cumulative total token cou... | {
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https://api.github.com/repos/huggingface/transformers/issues/41155 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41155/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41155/comments | https://api.github.com/repos/huggingface/transformers/issues/41155/events | https://github.com/huggingface/transformers/pull/41155 | 3,452,749,248 | PR_kwDOCUB6oc6qdnmE | 41,155 | Fix format of compressed_tensors.md | {
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As the title says.
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https://api.github.com/repos/huggingface/transformers/issues/41154 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41154/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41154/comments | https://api.github.com/repos/huggingface/transformers/issues/41154/events | https://github.com/huggingface/transformers/pull/41154 | 3,452,670,305 | PR_kwDOCUB6oc6qdW2E | 41,154 | Fix single quotes in markdown | {
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## 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),
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https://api.github.com/repos/huggingface/transformers/issues/41153 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41153/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41153/comments | https://api.github.com/repos/huggingface/transformers/issues/41153/events | https://github.com/huggingface/transformers/pull/41153 | 3,452,639,849 | PR_kwDOCUB6oc6qdQGY | 41,153 | Fix: align Qwen2.5-VL inference rope index with training by passing second_per_grid_ts | {
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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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https://api.github.com/repos/huggingface/transformers/issues/41152 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41152/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41152/comments | https://api.github.com/repos/huggingface/transformers/issues/41152/events | https://github.com/huggingface/transformers/issues/41152 | 3,452,620,935 | I_kwDOCUB6oc7NytCH | 41,152 | [Bug] Qwen2.5-VL prepare_inputs_for_generation does not pass second_per_grid_ts to get_rope_index | {
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When using Qwen2.5-VL for generation, the method prepare_inputs_for_generation calls get_rope_index without passing second_per_grid_ts.
```python
def prepare_inputs_for_generation(
self,
input_ids,
past_key_values=None,
attention_mask=None,
inputs_embeds=None,
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https://api.github.com/repos/huggingface/transformers/issues/41151 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41151/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41151/comments | https://api.github.com/repos/huggingface/transformers/issues/41151/events | https://github.com/huggingface/transformers/issues/41151 | 3,452,178,745 | I_kwDOCUB6oc7NxBE5 | 41,151 | Incorrect `norm_topk_prob` config for loading Qwen3 MoE GGUF | {
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https://api.github.com/repos/huggingface/transformers/issues/41150 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41150/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41150/comments | https://api.github.com/repos/huggingface/transformers/issues/41150/events | https://github.com/huggingface/transformers/issues/41150 | 3,452,177,660 | I_kwDOCUB6oc7NxAz8 | 41,150 | Error message: XPU out of memory. Tried to allocate 4.00 GiB (GPU 0; 15.11 GiB total capacity; 0 bytes already allocated; 0 bytes reserved in total by PyTorch) | {
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Soo the problem is simple:
If i only install xpu torch and intel_extension_for_pytorch then all my 16gbvram is ready but if i install transformers its only 4gb vram is aviable.
With this the 16gb vram works:
The code:
import torch
from torch import xpu
import os
import intel_... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41149 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41149/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41149/comments | https://api.github.com/repos/huggingface/transformers/issues/41149/events | https://github.com/huggingface/transformers/pull/41149 | 3,452,135,975 | PR_kwDOCUB6oc6qbi8e | 41,149 | Improve image_utils reliability: safe PIL imports, torchvision error handling, and bug fixes | {
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"merged_at... | ## Fix robust vision import handling in image_utils.py
This PR makes the vision-related imports in `image_utils.py` more robust and resilient to import failures, particularly for text-only users who may have broken or incomplete vision dependencies.
### Changes Made
#### 🔧 **Robust PIL Import Handling**
- Changed f... | {
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"merged_at... | ### Problem
Users running text-only pipelines (like pipeline("text-generation")) currently crash if torchvision is installed but not version-matched with torch. The error looks like:
```
RuntimeError: operator torchvision::nms does not exist
...
ModuleNotFoundError: Could not import module 'pipeline'
```
Thi... | {
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```bash
Traceback (most recent call last):
File "/usr/local/bin/transformers", line 5, in <module>
from transformers.commands.transformers_cli import main
File "/usr/local/lib/python3.11/dist-packages/transformers/commands/transformers_cli.py", line 19, in <module>
from transformers.commands... | null | {
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"merged_at... | # What does this PR do?
When deepspeed's world_size changes, ds checkpoints need to be converted to universal checkpoints. This PR is used to support automatic conversion.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you re... | null | {
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# What does this PR do?
Enable the torhc native SDPA interface to invoke the FlashAttentionScore operator of NPU.
----
### Restrictions on the use of torch native interface calling FA operator:
1. When is_causal calculation is enabled, attn_mask must be None; when is_causal is not enabled, if attn_mask ... | {
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