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This is a follow up to issue #32648 which was closed stale without resolution.
Am still getting this error running the [ASR Task Recipe](https://huggingface.co/docs/transformers/tasks/asr).
System info:
- OS X Sequoia latest
- M2 Pro 16 GB RAM
Libraries:
- python 3.13.5
- transformers 4.52.4
- datas... | {
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- `transformers` version: 4.55.0
- Platform: Linux-6.6.56+-x86_64-with-glibc2.35
- Python version: 3.11.13
- Huggingface_hub version: 0.34.3
- Safetensors version: 0.5.3
- Accelerate version: 1.8.1
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (accelerator?): 2.6.... | {
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"merged_at... | `torch.device('cpu').index` is None, hence `int(routing_weights.device.index)` fails on tests being run on CPU, see example [here](https://app.circleci.com/pipelines/github/huggingface/transformers/140894/workflows/8e8620a9-fc6b-45b9-b5bd-0eb23296b587/jobs/1865476)
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I'm trying to run a model via transformers server, it's working fine via curl.
But when I try to plug an OpenWeb UI in front to connect to the server, the browsers sends first an OPTIONS http method that gets denied.
```
INFO: 127.0.0.1:43740 - "OPTIONS /v1/chat/completions HTTP/1.1" 405 Method ... | {
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Registers serialization functions for StaticCache. After this, torch.export.export does not need extra work to export a model using a StaticCache.
## 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 r... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/39930 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39930/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39930/comments | https://api.github.com/repos/huggingface/transformers/issues/39930/events | https://github.com/huggingface/transformers/pull/39930 | 3,293,801,561 | PR_kwDOCUB6oc6iPCKT | 39,930 | Add missing special token properties to MistralCommonTokenizer | {
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- Add all_special_tokens property
- Add all_special_tokens_extended property
- Fixes AttributeError when using with vLLM
# What does this PR do?
Fixes AttributeError when using `MistralCommonTokenizer` with vLLM by adding missing special token properties.
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Restores green CI status after merging #39535
👉 check docs locally: `doc-builder build transformers docs/source/ko/ --language ko --clean`
👉 check docs in CI: comment `build-doc` | {
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# What does this PR do?
Translated the `attention_interface.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
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```
- transformers==4.54.1
- Platform: Linux-5.15.0-1084-aws-x86_64-with-glibc2.31
- Python version: 3.13
- TRL version: 0.19.1
- Huggingface_hub version: 0.33.4
- Safetensors version: 0.5.3
- Accelerate version: 1.9.0
- Accelerate config: not found
- DeepSpeed version: not installed
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# What does this PR do?
Updated the perf_train_special.md file in the documentation with a Korean translation.
Thank you in advance for your review.
Part of #20179
Update of #34590
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[39885](https://github.com/huggingface/transformers/pull/39885) introduces ~70 new failed tests, and the `check_bad_commit.py` failed due to rate limit (I believe), see
https://github.com/huggingface/transformers/actions/runs/16739364088/job/47406733586
This PR stores the results of `a... | {
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# What does this PR do?
Updated the perf_train_cpu.md file in the documentation with a Korean translation.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
Update of #24911
## Before ... | null | {
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transformer version:4.51.2
### 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)
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Hello everyone, I encountered an error while fine-tuning SmolVLM-256M on my custom dataset. I noticed there are similar issues on Idefics 2 mentioned before (https://github.com/huggingface/transformers/issues/31380), but previous experiences couldn't help me solve this problem on Idefics 3.
Could plz... | {
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Translated the `tiny_agents.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for missing / redundant translations (번역 누락/중복 검사)
- [x] Grammar Check (맞춤법 검사)
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"merged_at... | This did not work with generation (lm_head needs extra care!) This reverts commit 6dfd561d9cd722dfc09f702355518c6d09b9b4e3.
cc @SunMarc cc @matej-svejda | {
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```
- `transformers` version: 4.53.2
- Platform: Linux-5.15.0-113-generic-x86_64-with-glibc2.35
- Python version: 3.12.11
- Huggingface_hub version: 0.33.4
- Safetensors version: 0.5.3
- Accelerate version: 1.9.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (acce... | {
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https://api.github.com/repos/huggingface/transformers/issues/39910 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39910/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39910/comments | https://api.github.com/repos/huggingface/transformers/issues/39910/events | https://github.com/huggingface/transformers/issues/39910 | 3,292,503,367 | I_kwDOCUB6oc7EP51H | 39,910 | Question: Llama4 weight reshaping | {
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I am trying to extract the original Llama4 MoE weights, specifically:
- `experts.w1` (aka `experts.moe_w_in_eD_F`)
- `experts.w3` (aka `experts.moe_w_swiglu_eD_F`)
I need both of these in the shape `[E, D, N]`, where:
- E is the number of experts (16 for Scout)
- D is the embedding dimension (5120)
- N is th... | {
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https://api.github.com/repos/huggingface/transformers/issues/39909 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39909/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39909/comments | https://api.github.com/repos/huggingface/transformers/issues/39909/events | https://github.com/huggingface/transformers/pull/39909 | 3,292,325,840 | PR_kwDOCUB6oc6iKCcO | 39,909 | Update object_detection.md | {
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"merged_at... | # What does this PR do?
fix code snippet error in object detection docs.
## 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.m... | {
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https://api.github.com/repos/huggingface/transformers/issues/39908 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39908/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39908/comments | https://api.github.com/repos/huggingface/transformers/issues/39908/events | https://github.com/huggingface/transformers/pull/39908 | 3,292,194,041 | PR_kwDOCUB6oc6iJlv0 | 39,908 | Update dynamic attnt setter for multimodals | {
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Dynamic attn setting doesn't work for multimodal currently and also for any other code where the attention layer is imported, and not defined. This PR updates the heuristic to check if an attention layer exists in the model code as well.
Also updated the warning when requested attention wa... | {
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https://api.github.com/repos/huggingface/transformers/issues/39907 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39907/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39907/comments | https://api.github.com/repos/huggingface/transformers/issues/39907/events | https://github.com/huggingface/transformers/issues/39907 | 3,292,016,495 | I_kwDOCUB6oc7EOC9v | 39,907 | Hidden torchvision>=0.19.0 dependency results in quiet import failures of e.g. PreTrainedModel | {
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The changes from #37055 introduce a dependency of `torchvision>=0.19.0` as they rely on `InterpolationMode.NEAREST_EXACT` from `torchvision.transforms.InterpolationMode`, whereas previously I was able to use older versions. This interpolation mode was added in https://github.com/pytorch/vision/pull/6754, which ... | {
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https://api.github.com/repos/huggingface/transformers/issues/39906 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39906/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39906/comments | https://api.github.com/repos/huggingface/transformers/issues/39906/events | https://github.com/huggingface/transformers/pull/39906 | 3,291,883,994 | PR_kwDOCUB6oc6iIjTm | 39,906 | [`Exaone4`] Fixes the attn implementation! | {
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There was a typo in the config!
Should superseed #39698 | {
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https://api.github.com/repos/huggingface/transformers/issues/39905 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39905/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39905/comments | https://api.github.com/repos/huggingface/transformers/issues/39905/events | https://github.com/huggingface/transformers/pull/39905 | 3,291,786,219 | PR_kwDOCUB6oc6iIOS- | 39,905 | run model debugging with forward arg | {
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"merged_at... | # What does this PR do?
Integrate the amazing model_debugging utils directly in all models that have `check_model_inputs` to just need to pass `debug_io` and `debug_io_dir` and `prune_layers` | {
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https://api.github.com/repos/huggingface/transformers/issues/39904 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39904/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39904/comments | https://api.github.com/repos/huggingface/transformers/issues/39904/events | https://github.com/huggingface/transformers/pull/39904 | 3,291,625,770 | PR_kwDOCUB6oc6iHrMo | 39,904 | docs: fix typo in 'quantization-aware training' | {
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"merged_at... | # What does this PR do?
This PR fixes a minor typo in the documentation:
- "quantization-aware trainin" → "quantization-aware training"
## Before submitting
- [x] 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](http... | {
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https://api.github.com/repos/huggingface/transformers/issues/39903 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39903/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39903/comments | https://api.github.com/repos/huggingface/transformers/issues/39903/events | https://github.com/huggingface/transformers/pull/39903 | 3,291,613,498 | PR_kwDOCUB6oc6iHoiY | 39,903 | 🌐 [i18n-KO] Translated clipseg.md to Korean | {
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"merged_at... | # What does this PR do?
Translated the clipseg.md file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for missing / redundant translations (번역 누락/중복 검사)
- [x] Grammar Check (맞춤법 검사)
- [x]... | {
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"merged_at... | # What does this PR do?
This PR improves the model card of Deformable DETR.
## Before submitting
- [x] This PR fixes a typo or improves the docs
## Who can review?
Anyone in the community is free to review the PR once the tests have passed.
@stevhliu
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Translated the `fp_quant.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [X] Check for missing / redundant translations (번역 누락/중복 검사)
- [X] Grammar Check (맞춤법 검사)
- ... | null | {
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- `transformers` version: 4.53.3
- Platform: Linux-5.15.134***-x86_64-with-glibc2.35
- Python version: 3.10.18
- Huggingface_hub version: 0.33.5
- Safetensors version: 0.5.3
- Accelerate version: 1.9.0
- Accelerate config: not found
- DeepSpeed version: not installed
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Use new parameter name to reduce the test warnings.
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Remove the model name in `find_file_type` in `modular_model_converter.py` as it can cause issues when the module name is ambiguous.
For example, in [this PR](https://github.com/huggingface/transformers/pull/32317), the model name is sam2_video (Sam2Video), and I want to use modular for its p... | {
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- `transformers` version: 4.54.1
- Platform: Linux-5.4.144-16.el7pie-x86_64-with-glibc2.35
- Python version: 3.12.5
- Huggingface_hub version: 0.34.3
- Safetensors version: 0.5.3
- Accelerate version: 1.9.0
- Accelerate config: not found
- DeepSpeed version: 0.17.4
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I'd like to contribute the VideoPrism model by google deepmind. The code base (written in flax) was made public in June and the base model weights alone has 2.7k downloads on [HF hub](https://huggingface.co/google/videoprism-base-f16r288) with almost no support except for the original repo. There... | null | {
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This PR addresses the `ModuleNotFoundError` for the `einops` library by adding it as a core dependency.
It fixes issue #39811, where certain parts of the `transformers` library, specifically in the flash attention code, were trying to import `einops` without it being a declared dependency.... | {
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"merged_at... | ## Fix misleading error message when `WANDB_DISABLED` is set
### Summary
✅ Fixed the misleading WandB error in `src/transformers/integrations/integration_utils.py:814`.
**Before (confusing error):**
```
RuntimeError: WandbCallback requires wandb to be installed. Run `pip install wandb`.
```
**After (cl... | {
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# What does this PR do?
Translated the `jamba.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for mi... | {
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Something like this
https://github.com/ydshieh/transformers/pull/15#issuecomment-3151095765
The changes are mostly copied from some jobs defined in
.github/workflows/self-comment-ci.yml | {
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Just use dummy model (4 LLM layers), otherwise it won't fit into A10 runner.
The output is still deterministic, just some checkpoint weights are not used in the dummy model (all of its weights are loaded from checkpoint) | {
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EDIT: deleting PR to do one at a time | {
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# What does this PR do?
Translated the `perf_train_gaudi.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] C... | null | {
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See https://github.com/pytorch/pytorch/issues/157274#issuecomment-3090791615
(if we don't do this, we have to increase the thresholds in many tests when torch 2.8 is released) | {
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Related [#36978](https://github.com/huggingface/transformers/issues/36978)
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Closes #37939. | {
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Automatically log parallelism configuration (TP, DP, etc.) from Accelerate to Weights & Biases config in `WandbCallback`.
Currently, when using `Accelerator`, parallelism sizes (e.g., `tp_size`, `dp_replicate_size`) must be manually recorded to `wandb.config`. These values are essential when condu... | null | {
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Defines a better return type hint for `AutoModelForCausalLM` and `AutoModelForImageTextToText`, from_pretrained method returns `_BaseModelWithGenerate` so anyone can see `generate` signature (see images)
#### On main
<img width="757" height="204" alt="Screenshot 2025-08-04 at 12 12 35" sr... | {
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Fix links and models in README | {
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As per ttile | {
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When using the Hugging Face `Trainer` or `SFTTrainer` with `report_to="wandb"`, if `WANDB_DISABLED` is also set in the environment, the following misleading error appears:
```bash
Using the WANDB_DISABLED environment variable is deprecated and will be removed in v5. Use the --report_to flag to contr... | {
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transformers==4.54.0
torch==2.6.0+cu124
peft==0.16.0
unsloth==2025.8.1
### 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 t... | {
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"merged_at... | # What does this PR do?
**Pre-Print about this method [Bridging the Gap Between Promise and Performance for Microscaling FP4 Quantization](https://arxiv.org/abs/2509.23202)**
This PR adds a new data-type support to the existing FP-Quant Quantization method.
It also fixes the quantization tests docker environment... | {
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"merged_at... | To reproduce:
- Install WandB
- Run an exp
- Uninstall
- check what returns `is_wandb_avaialble()` (returns `True`)
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Catch the correct `ConnectionError` when checking for `additional_chat_templates`.
Fixes #39873
## 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.... | {
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- `transformers` version: 4.55.0.dev0
- Platform: Linux-6.6.87.2-microsoft-standard-WSL2-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.34.3
- Safetensors version: 0.5.3
- Accelerate version: 1.9.0
- Accelerate config: not found
- DeepSpeed version: not installed
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- `transformers` version: 4.54.1
- Platform: Windows-10-10.0.26100-SP0
- Python version: 3.10.18
- Huggingface_hub version: 0.34.3
- Safetensors version: 0.5.3
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- PyTorch version (accelerator?): 2.5.1+cu118 ... | {
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For encoder decoder models, I would like to have the following feature where I can generate using:
1. encoded representations of my context tokens passed in while
2. putting tokens of ONLY my question related to the context in decoder_input_ids
### Motivation
I think this is broadly useful to... | {
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Remove a sync point in qwen2.5 vl training. See its overhead collected in my SFT using py-spy (other lines are omitted):
```
%Own %Total OwnTime TotalTime Function (filename:line)
27.00% 27.00% 16.44s 16.44s forward (transformers/models/qwen2_5_vl/modeling_qwen2_5_vl.py:248)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/39869 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39869/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39869/comments | https://api.github.com/repos/huggingface/transformers/issues/39869/events | https://github.com/huggingface/transformers/pull/39869 | 3,286,678,975 | PR_kwDOCUB6oc6h3S8s | 39,869 | Update README.md | {
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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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] | open | false | null | [] | null | [] | 2025-08-02T20:10:33 | 2025-08-04T09:09:37 | null | NONE | null | null | null | null | ### Feature request
I get this error when trying to load in vllm with -tp 2
transformers.models.glm4_moe.modeling_glm4_moe.Glm4MoeModel'> does not support tensor parallel yet!
### Motivation
I can't fit the model in one 96gb gpu
### Your contribution
Happy to test etc. :) | null | {
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The default value of getenv should be a string or None. | {
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Now that multiple processes can be involved in saving due to parallelism (see #39693), there are intermittent race conditions since the default to `save_pretrained` is `is_main_process=True`. Stacktrace below that intermittently happens on later checkpoints
```
[rank1]: File "/root/min... | null | {
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# What does this PR do?
Translated the `gemma3.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for m... | {
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# What does this PR do?
Translated the `chat_extras.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check ... | {
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Update the model card gpt neox japanese for https://github.com/huggingface/transformers/issues/36979
## Before submitting
- [x] 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.... | {
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Translated the `grounding-dino.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for missing / redundant translations (번역 누락/중복 검사)
- [x] Grammar Check (맞춤법 검... | {
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https://api.github.com/repos/huggingface/transformers/issues/39860 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39860/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39860/comments | https://api.github.com/repos/huggingface/transformers/issues/39860/events | https://github.com/huggingface/transformers/issues/39860 | 3,285,516,639 | I_kwDOCUB6oc7D1QFf | 39,860 | Florence2ForConditionalGeneration does not support Flash Attention 2.0 yet ?... | {
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# ComfyUI Error Report
## Error Details
- **Node ID:** 94
- **Node Type:** DownloadAndLoadFlorence2Model
- **Exception Type:** ValueError
- **Exception Message:** Florence2ForConditionalGeneration does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: ... | {
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This PR adds a new option to `BitsAndBytesConfig` called `target_parameters` with the same spirit as `target_parameters` in huggingface/peft#2638. The intent is to allow quantization of `nn.Parameter` that are not within a `nn.Linear`, e.g. those found commonly in certain MoE model implementa... | null | {
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# What does this PR do?
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`ruff format`
`ruff check --fix`
## 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-r... | {
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Fixes issue [[#39849](https://github.com/huggingface/transformers/issues/39849)] where Accelerate would default to `bf16` mixed precision even when a DeepSpeed config specifies `fp16`, causing the following error:
> `ValueError: --mixed_precision arg cannot be set to bf16 when fp16 is set in the DeepSp... | {
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"merged_at... | # What does this PR do?
Fix attn_implementation setter for models with `backbone_config`
#### On main:
```python
from transformers import VitPoseForPoseEstimation
model = VitPoseForPoseEstimation.from_pretrained(
"usyd-community/vitpose-base-simple", attn_implementation="eager"
)
print(model.config.... | {
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"merged_at... | ## Summary
Fixes issue [[#39849](https://github.com/huggingface/transformers/issues/39849)](https://github.com/huggingface/transformers/issues/39849) where Accelerate would default to `bf16` mixed precision even when a DeepSpeed config specifies `fp16`, causing the following error:
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```
Checking/fixing files: src/transformers/integrations/executorch.py tests/models/cohere2/test_modeling_cohere2.py tests/models/exaone4/test_modeling_exaone4.py tests/models/gemma/test_modeling_gemma.py tests/models/gemma2/test_modeling_gemma2.py tests/models/gemma3/test_modeling_gemma3.... | {
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output of `transformers env`
```
- `transformers` version: 4.53.2
- Platform: macOS-15.4.1-arm64-arm-64bit
- Python version: 3.12.11
- Huggingface_hub version: 0.33.4
- Safetensors version: 0.5.3
- Accelerate version: not installed
- Accelerate config: not found
- DeepSpeed version: not installed
- Py... | {
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topNSigma is a sampling technique that guarantees that outputs are agnostic to temperature, while eliminating unrealistic tokens thereby reducing the chances of an illegitimate generation.
It's implementation centers around finding the std in the logits space and retaining the tokens whose logit s... | {
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Transformers version 4.54.0
Accelerate version 1.9.0
Deepspeed version 0.17.2
Torch version 2.7.1
Python 3.12.3
AWS 8xGPU Ubuntu=24.04
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task ... | {
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- Correctly have the application of chat template return tensors
- Handle instructions when received
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This PR enables rope layers to compute different frequencies for different layer types, which will help us to support models like ModernBert without monkey patching config on-the-fly
Main changes:
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As discussed offline with @gante | {
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<img width="1705" height="595" alt="image" src="https://github.com/user-attachments/assets/cd864ba3-4fa9-4c10-9d7d-1b6aaee752ec" />
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After PR #39474 merged, flash_attention_2 is unavailable on Ascend NPU, because package `flash-attn` can not be installed on Ascend NPU :(
This PR is committed for solving this problem.
**Detail modification:**
1. Follow newest flash attention preparation logics in `src/transformers/mode... | {
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Fixes https://github.com/huggingface/transformers/issues/39814
Don't merge, one of the models fails the test with unknown CUDA-side error and messes up all subsequent tests. Trying to find out with model that is
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https://github.com/huggingface/transformers/blob/1e0665a191f73f6b002209c3dfcda478baac6bac/src/transformers/trainer.py#L370-L375
I think there are several problems for `compute_result`,
1. User c... | {
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on docker
os: ubuntu 24.04
transformers: 4.55.0.dev0
mistral_common: 1.8.3
### Who can help?
_No response_
### Information
- [x] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [x] My own ... | {
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Removed dtensor redistribute for many reasons:
- 2x slower for the add of the bias
- not explicit enough
- does not allow us to run deepspeed
- we were already not using tensors for MoE because of how cumbersome doing a .view was | {
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transformers 4.54.0
### Who can help?
@zucchini-nlp
### Information
- [x] 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)
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CB was broken with TP and cudagraph.
Streams were messing with each other!
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