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https://api.github.com/repos/huggingface/transformers/issues/41040 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41040/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41040/comments | https://api.github.com/repos/huggingface/transformers/issues/41040/events | https://github.com/huggingface/transformers/pull/41040 | 3,439,078,084 | PR_kwDOCUB6oc6pvjSn | 41,040 | Add Keye vl 8b 1.5 | {
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"merged_at... | # Model Upgrade: Keye-VL-1.5-8B
## Overview
This PR introduces an upgraded version of the visual-language model, transitioning from the previous `keye-preview` to `keye-vl-1.5-8B`. The update includes architectural refinements, documentation improvements, code optimizations, and style enhancements.
## Key Change... | null | {
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- Explains `TRANSFORMERS_OFFLINE`, `HF_HUB_OFFLINE`, and `local_files_only`
- Shows how to pre-populate & relocate caches
- Covers pipelines/trainers loading strictly from local files
- Adds entry to `_toctree.yml`
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The issue exists for `transformers>=4.54.0<=4.56.1` for sure (tested).
```bash
$ transformers env
- `transformers` version: 4.56.1
- Platform: Linux-6.16.7-arch1-1-x86_64-with-glibc2.42
- Python version: 3.13.7
- Huggingface_hub version: 0.35.0
- Safetensors version: 0.5.3
- Accelerate version: 1.10.1... | {
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"merged_at... | # What does this PR do?
This PR adds integration tests for the Apertus model, the tests are:
- Check short greedy generation
- Check short instruct model greedy generation
- Check model logits in bfloat16, and compare with XIELU cuda output
- Check model logits in float32, and compare with XIELU cuda output (I t... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41036 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41036/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41036/comments | https://api.github.com/repos/huggingface/transformers/issues/41036/events | https://github.com/huggingface/transformers/pull/41036 | 3,438,266,279 | PR_kwDOCUB6oc6ptFNS | 41,036 | [Qwen3-next] Fix dimension mismatch in torch_chunk_gated_delta_rule and torch_recurrent_gated_delta_rule (#40963) | {
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"merged_at... | ## Fixes #40963
## Issue
When running inference with **Qwen3-next** (`modeling_qwen3_next.py`), a dimension mismatch occurs in the `Qwen3NextGatedDeltaNet` class inside the `torch_chunk_gated_delta_rule` function.
- Input tensors start as `(batch_size, seq_len, num_heads, head_dim)`.
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# What does this PR do?
This PR updates the existing `"common_voice" \` dataset with modern `"mozilla-foundation/common_voice_11_0" \`.
Fixes #40977
## 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 ... | null | {
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"merged_at... | Fix #40986
Refactors the feature extraction logic for both `GraniteSpeechFeatureExtractor` and `WhisperFeatureExtractor` into separate `nn.Module` subclasses. This encapsulates the feature extraction computation in a way that is compatible with `torch.export`.
A new method, `to_exportable_module()`, was added to ... | null | {
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When a model is loaded with `device_map="auto"` and is too large to fit on a single GPU, `accelerate` will offload some layers to the CPU or disk. The `Trainer` would previously attempt to move the entire model to the specified device, causing a `RuntimeError` because a model dispatched with `accelerate`... | {
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Fix typos and fix other formatting 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#crea... | {
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`optax` is dependency of `flax`.
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Remove remaining text of tensor flow and flax inside `<tf> </tf>` and `<flax> </flax>` from documentation.
## 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:... | {
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https://api.github.com/repos/huggingface/transformers/issues/41028 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41028/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41028/comments | https://api.github.com/repos/huggingface/transformers/issues/41028/events | https://github.com/huggingface/transformers/pull/41028 | 3,437,699,407 | PR_kwDOCUB6oc6prVU1 | 41,028 | Fix typing of tuples | {
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Use `tuple[T,...]` to indicate tuples of the same element type `T`.
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https://api.github.com/repos/huggingface/transformers/issues/41027 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41027/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41027/comments | https://api.github.com/repos/huggingface/transformers/issues/41027/events | https://github.com/huggingface/transformers/pull/41027 | 3,437,577,034 | PR_kwDOCUB6oc6pq_Hq | 41,027 | docs: update speech recognition examples | {
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"merged_at... | This PR modernizes the ASR examples and improves cross-platform onboarding.
## What’s changed
- **Pin CTC example commands** to Hub datasets (e.g., `mozilla-foundation/common_voice_17_0`) instead of `common_voice` local scripts.
- **Add a Whisper section tip** clarifying that `--dataset_name` should point to a Hub... | {
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https://api.github.com/repos/huggingface/transformers/issues/41026 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41026/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41026/comments | https://api.github.com/repos/huggingface/transformers/issues/41026/events | https://github.com/huggingface/transformers/issues/41026 | 3,437,371,868 | I_kwDOCUB6oc7M4iHc | 41,026 | Attention sinks are not applied correctly in `integrations.flex_attention` | {
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https://github.com/huggingface/transformers/blob/67097bf34055c55b886dc92014fd628c9a70e168/src... | {
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https://api.github.com/repos/huggingface/transformers/issues/41025 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41025/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41025/comments | https://api.github.com/repos/huggingface/transformers/issues/41025/events | https://github.com/huggingface/transformers/pull/41025 | 3,437,282,088 | PR_kwDOCUB6oc6pqDlM | 41,025 | Adding support for Qwen3Omni | {
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"merged_at... | ## Qwen3-Omni here!
This PR introduces support for the upcoming **Qwen3-Omni** models, including **Instruct and Thinking versions.**
As the next generation of the Qwen-Omni family, Qwen3-Omni brings new architecture, multilingual and reasoning ability to omni model, achieving superior performance across complex ... | {
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https://api.github.com/repos/huggingface/transformers/issues/41024 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41024/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41024/comments | https://api.github.com/repos/huggingface/transformers/issues/41024/events | https://github.com/huggingface/transformers/pull/41024 | 3,437,044,956 | PR_kwDOCUB6oc6ppYGq | 41,024 | Deprecate `max_size` in ConditionalDetrImageProcessor with warning | {
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Deprecates the `max_size` parameter in `ConditionalDetrImageProcessor` with a proper warning message and guides users to use the new `size={'longest_edge': <int>}` format instead.
## Why this change?
This aligns the ConditionalDetrImageProcessor with other processors (like DETR) and pro... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41023 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41023/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41023/comments | https://api.github.com/repos/huggingface/transformers/issues/41023/events | https://github.com/huggingface/transformers/issues/41023 | 3,437,015,054 | I_kwDOCUB6oc7M3LAO | 41,023 | modular_qwen2_5_vl.py冗余代码，影响代码整洁和引入歧义 | {
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建议： 应该删除
理由：
1.请看我注释中的TODO部分，modular_qwen2_5_vl.py的功能基本上在modeling_qwen2_5_vl.py有最新实现
2.qwen2.5-vl的开源代码，没有用到modular_qwen2_5_vl.py
3.transformer中只是旧代码，可能是qwen2.5开发过程中的中间历史文件
4.该文件影响代码质量，引入疑惑
5.如果是这样，请确保代码的整洁与高质量
# coding=utf-8
# Copyright 2025 The Qwen Team and The HuggingFace Inc. team. All rights re... | {
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https://api.github.com/repos/huggingface/transformers/issues/41022 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41022/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41022/comments | https://api.github.com/repos/huggingface/transformers/issues/41022/events | https://github.com/huggingface/transformers/pull/41022 | 3,436,906,853 | PR_kwDOCUB6oc6po9od | 41,022 | 🌐 [i18n-KO] Translated `backbones.md` to Korean | {
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"merged_at... | # What does this PR do?
Translated the `backbones.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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Translated the `video_processors.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... | null | {
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- Platform: Linux-5.15.0-153-generic-x86_64-with-glibc2.31
- Python version: 3.12.9
- Huggingface_hub version: 0.34.4
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# Add a note to the documentation clarifying that the train_new_from_iterator method in the 🤗 Tokenizers library uses the BPE algorithm to construct the vocabulary, not a true WordPiece implementation.
## What does this PR do?
This PR improves the documentation of the `train_new_from_iterator` method in `tokeniz... | {
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complete broken qwen2_audio ... | {
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Remove deprecated training arguments from `TrainingArguments` | {
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This PR updates the `ZambaForCausalLM` forward method to efficiently mask logits using the `logits_to_keep` argument. It supports both top-k and index-based selection, setting all other logits to `-inf` after projection.
Please let me know if my approach or fix needs any improvements . I’m open to feedbac... | null | {
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As the title says | {
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Kudos to @vasqu to point out it's a missing torch.no_grad()
https://github.com/huggingface/transformers/pull/41007#discussion_r2363556135
https://github.com/huggingface/transformers/pull/41007#discussion_r2364096801 | {
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"merged_at... | # What does this PR do?
Fix a small mistake in the invocation of the benchmark runner script.
## 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/b... | {
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"merged_at... | As per title. Atm, we just fallback to sdpa/eager even when a kernel was explicitly requested and it caused some hidden states when I ran tests for the bert refactor (not good!).
Imo, just as any other attention type, we should error out when the explicit request cannot be met. Fallbacks are just more confusing in ... | {
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https://api.github.com/repos/huggingface/transformers/issues/41009 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41009/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41009/comments | https://api.github.com/repos/huggingface/transformers/issues/41009/events | https://github.com/huggingface/transformers/pull/41009 | 3,434,856,230 | PR_kwDOCUB6oc6piFWT | 41,009 | Add Lexa-Delta model support | {
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"merged_at... | This PR introduces **Lexa-Delta**, a new large language model developed by **Robi Labs**, as a first-class model in the 🤗 Transformers library.
### What’s included
* **Configuration**: `LexaDeltaConfig` (`model_type="lexa_delta"`)
* **Model**: `LexaDeltaForCausalLM`, inheriting from `GptOssForCausalLM`
* **Tok... | null | {
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Extend #40727
will merge directly | {
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"merged_at... | # What does this PR do?
This test just get the pytest process being killed due to CPU OOM.
```
tests/models/phimoe/test_modeling_phimoe.py::PhimoeIntegrationTest::test_model_phimoe_instruct_logits
-------------------------------- live log call ---------------------------------
WARNING transformers.modeling_r... | {
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"merged_at... | #40370 added a `**kwargs` to the ESM-2 model's forward pass, which means this model now triggers [these lines](https://github.com/huggingface/transformers/blob/6d2bb1e04db6c8d193549d4b0c99d2182837c0ad/src/transformers/trainer.py#L4127-L4132) in the HF trainer, making losses inconsistent between single and multi-device ... | {
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Reference - https://huggingface.co/docs/transformers/main/en/model_doc/qwen3_vl#transformers.Qwen3VLForConditionalGeneration
If not when can we expect any guess? | {
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"merged_at... | # What does this PR do?
expands the details of the RoPE function docstrings to better convey which fields are possible, which are required, and what they are used for in the functions.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
-... | {
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"merged_at... | # What does this PR do?
This PR is an example of a non-super-standard decoder-only model with `CausalLMModelTester`: with a few extra definitions, we can reuse most of the improved testing logic.
👉 If this pattern is approved, I'll open a separate PR for other decoder-only models 🤗 | {
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https://api.github.com/repos/huggingface/transformers/issues/41002 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41002/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41002/comments | https://api.github.com/repos/huggingface/transformers/issues/41002/events | https://github.com/huggingface/transformers/pull/41002 | 3,433,934,408 | PR_kwDOCUB6oc6pe6_b | 41,002 | fix dict like init for ModelOutput | {
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This PR fixes `ModelOutput` dict-like init as this doesn't work if you don't specify the first attribute. In our case the loss value wasn't cleared.
### Reproducer
```python
from transformers.modeling_outputs import CausalLMOutputWithPast
import torch
lm_output = CausalLMOutputWith... | {
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The goal of this PR is to get rid of the old and biased "slow vs fast" definition, simplify the code, unbloat the API and have something simple and stable.
We don't want to break stuff, so will try not to.
Related to #40938 | null | {
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`4m` -> `6.69s`
Mostly, from some `test_eager_matches_sdpa_inference`, we get `20s` --> `1s` | {
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- Removes stray TF/FLAX `[[autodocs]]` references. All languages can now be built (tested locally)
- Removes the `ms`, `te`, and `tr` languages:
- `ms` only contained the index, was not being built in our CI, and was a very incorrect `toc_tree`
- `te` only contained an outdated ind... | {
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See title :) | {
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Removes the `transformers-cli` entrypoint, which is deprecated in favor of `transformers` | {
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Should bring back to doc builder
cc @gante @vasqu
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"merged_at... | ## What does this PR do?
This has been a long-standing feature request, and I’d love to hear your thoughts on how I approached resolving it. I’ve tested the implementation on the GLUE benchmark and added unit tests for the new logic; happy to make any changes based on feedback!
Just a bit of description: I’ve tri... | null | {
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Fixes https://github.com/huggingface/transformers/issues/40964
In most vision models the `output.hidden_states` are the hiddens right after encoder blocks, i.e. before the last layernorm. Therefore for these models `output.hidden_states != output.last_hidden_state`
Currently `check_mode... | {
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transformers==4.56.1
trl==0.17.0
I used to apply code below
```python
from transformers import HfArgumentParser
from trl import (
ScriptArguments, ModelConfig, SFTConfig
)
parser = HfArgumentParser((ScriptArguments, SFTConfig, ModelConfig))
script_arguments, trainer_config, model_config = parser.par... | {
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"merged_at... | # What does this PR do?
Follow up of #40982
Let's still try to check if the number of layers is small.
I don't have enough to dive into all exceptional cases, but for new models, let's try to be careful. | {
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Adds LWDetr model.
In #36895 I started working on adding RFDetr, but after putting some work I realized that it relies a LOT on LWDetr.
Adding RFDetr will essentially replace the ViT encoder by Dino, so the biggest part of the work is on the implementation of LWDetr, which could also be a... | null | {
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- `transformers` version: 4.56.1
- Platform: Linux-6.5.0-1025-gcp-x86_64-with-glibc2.35
- Python version: 3.11.10
- Huggingface_hub version: 0.35.0
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- Accelerate version: 1.10.1
- Accelerate config: not found
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@ydshieh , pls help review, thx very much. | {
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- `transformers` version: 4.51.3
- Platform: Linux-5.15.0-88-generic-x86_64-with-glibc2.39
- Python version: 3.12.3
- Huggingface_hub version: 0.34.5
- Safetensors version: 0.6.2
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- Accelerate config: not found
- DeepSpeed version: not installed
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"merged_at... | # What does this PR do?
This PR introduces the foundational elements for the new `Blueberry` model. It sets up the basic directory structure (`src/transformers/models/blueberry`) and implements the `BlueberryConfig` class.
Key features of the `BlueberryConfig` include:
- Definition of a small, non-MoE decoder-on... | {
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We would like to be able to torch.export the audio feature processors such as:
- [GraniteSpeechFeatureExtractor](https://github.com/huggingface/transformers/blob/5f6e278a5177d8b85945a2cdb6b776dacee34914/src/transformers/models/granite_speech/feature_extraction_granite_speech.py#L38)
- [WhisperFeatu... | null | {
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This PR introduces the new "Blueberry" model to the `transformers` library. Blueberry is a small, decoder-only language model featuring a novel hybrid attention mechanism that alternates between RoPE with YaRN scaling (sliding window) and NoPE (full attention) layers. It also includes a custo... | {
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- Encoder-decoder models have been introduced via incorporating already trained encoder- and decoder-only models. See https://huggingface.co/papers/1908.08345
- It relies on the fact that these models can be customized on the fly.
Issues/Motivation:
- Transformers tries to actively keep a clean code of mod... | {
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As per the title. It's a very bad idea to dynamically change the whole `tester`, and brings a lot of issues for models with `layer_types`. @gante removed most of its usage already, just cleaning up what's left! | {
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For a few CI jobs, the pytest process is killed, not producing test output files. In this case, currently, this is not tracked, so we somehow think those jobs have no failing tests.
This PR try to track such situation, and show at least on slack:
> 🚨 There were {self.n_jobs_errored_ou... | {
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This PR updates `test_left_padding_compatibility` so that:
1. We now test left-padding support against all model inputs, as opposed to text-only inputs. This makes the test stricter: we now test that the model behaves well with left-padded text inputs, together with other (often optional) m... | {
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Remove `require_torch_bf16_gpu` because it is now unused. | {
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"merged_at... | This PR adds an util script to run tests as they would be in the CI and generate reports.
This is quite useful when fixing the CI and enables devs to use something akin to `run-slow` locally. Also useful when doing big sweeping changes and we want to run the CI locally or on a new hardware.
Also adds the `reports` ... | {
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Reference : [Whisper Finetuning](https://github.com/huggingface/transformers/tree/main/examples/pytorch/speech-recognition#single-gpu-whisper-training)
File : `examples/pytorch/speech-recognition/... | {
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"merged_at... | #40657 inadvertently changed an implicit algorithmic bias: candidate_generator (the assistant model) was getting logits_processor while the decoding method (main model) was getting prepared_logits_processor. This meant that the assistant was running with T=1 while the main model was using lower temp.
We investigat... | null | {
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The new API is available since PT 2.2 | {
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It's getting impossible to track down why CI is failing in a PR with many diffs, so I will use this one as minimalistic version | {
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https://api.github.com/repos/huggingface/transformers/issues/40973 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40973/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40973/comments | https://api.github.com/repos/huggingface/transformers/issues/40973/events | https://github.com/huggingface/transformers/pull/40973 | 3,430,193,983 | PR_kwDOCUB6oc6pSIH7 | 40,973 | [Fix] Fix test file error | {
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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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Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.57.0.dev0
- Platform: Linux-6.8.0-79-generic-x86_64-with-glibc2.39
- Python version: 3.12.11
- Huggingface_hub version: 0.35.0
- Safetensors version: 0.6.2
- Accelerate version: 1.10.1
- Ac... | null | {
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"merged_at... | The issue was fixed from PyTorch side, still I added a quick test to confirm the issue is indeed resolved.
Fixes #31035
## 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.co... | {
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https://api.github.com/repos/huggingface/transformers/issues/40970 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40970/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40970/comments | https://api.github.com/repos/huggingface/transformers/issues/40970/events | https://github.com/huggingface/transformers/issues/40970 | 3,429,944,190 | I_kwDOCUB6oc7McMt- | 40,970 | Inconsistenly sized batches of images and text (Gemma 3) | {
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- `transformers` version: 4.56.1
- Platform: Windows-11-10.0.26100-SP0
- Python version: 3.13.7
- Huggingface_hub version: 0.35.0
- Safetensors version: 0.6.2
- Accelerate version: 1.10.1
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (accelerator?): 2.8.0+
- Ten... | {
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Because `ACCELERATE_MIN_VERSION` is 0.26 | {
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https://api.github.com/repos/huggingface/transformers/issues/40968 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40968/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40968/comments | https://api.github.com/repos/huggingface/transformers/issues/40968/events | https://github.com/huggingface/transformers/issues/40968 | 3,429,742,607 | I_kwDOCUB6oc7MbbgP | 40,968 | An error occurred when directly deploying the Qwen3-Next 80B-A3B-Thinking model saved by the save_pretrained of transformers using vllm. However, directly deploying the original model was normal | {
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System Info
### Who can help?
(zhihu_0210_bak_0403) root@nb-zhanlun-zl-0914-1-0:/home# python collect_env.py
Collecting environment information...
==============================
System Info
==============================
OS : Ubuntu 22.04.4 LTS (x86_64)
GCC versi... | null | {
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Missed this one
> tests/models/qwen3_moe/test_modeling_qwen3_moe.py::Qwen3MoeIntegrationTest::test_speculative_generation
in #40949 | {
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`VJEPA2Model`'s `get_vision_features` method is meant to only forward pass through the encoder however it uses the model's `forward` method and omits `skip_predictor=True` meaning it also passes through the `predictor` which is wasted computation. This pr sets `skip_predictor=True` so that we... | {
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"merged_at... | # What does this PR do?
Follow up work of #40727:
- In the pytest step, add the following so we get the captured actual outputs (for patched methods)
> PATCH_TESTING_METHODS_TO_COLLECT_OUTPUTS=yes _PATCHED_TESTING_METHODS_OUTPUT_DIR=...
- Add a new step `Captured information` to show it on the job run page
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"url... | closed | false | null | [] | null | [] | 2025-09-18T07:43:29 | 2025-10-06T09:48:53 | 2025-10-06T09:48:53 | CONTRIBUTOR | null | null | null | null | ### System Info
torch 2.10.0.dev20250914+cpu
transformers 4.57.0.dev0
### 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, ...)
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https://api.github.com/repos/huggingface/transformers/issues/40963 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40963/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40963/comments | https://api.github.com/repos/huggingface/transformers/issues/40963/events | https://github.com/huggingface/transformers/issues/40963 | 3,429,044,906 | I_kwDOCUB6oc7MYxKq | 40,963 | Qwen3-next feature dims are mismatched in torch_chunk_gated_delta_rule | {
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Hello, when I'm running the inference code of Qwen3-next during reviewing the `modeling_qwen3_next.py` file, I found the dimension is confused when the `hidden_states` are passed to the `torch_chunk_gated_delta_rule` function of `Qwen3NextGatedDeltaNet` class.
Please refer the code here: htt... | {
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"merged_at... | # Perceptron Isaac Implementation
Perceptron released open weight models [Isaac-0.1](https://huggingface.co/PerceptronAI/Isaac-0.1) and [Isaac-0.1-Base](https://huggingface.co/PerceptronAI/Isaac-0.1-Base) a 2B dense model for perception.
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https://api.github.com/repos/huggingface/transformers/issues/40960 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40960/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40960/comments | https://api.github.com/repos/huggingface/transformers/issues/40960/events | https://github.com/huggingface/transformers/pull/40960 | 3,428,570,788 | PR_kwDOCUB6oc6pMlpO | 40,960 | Fix/issue 40560 train tokens per second | {
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# What does this PR do?
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Fixes #40560: `train_tokens_per_second` is wrong after continuing from checkpoint
This PR addresses the issue where `train_tokens_per_second` shows inflated values when resuming training from a checkpoint. The bug occurred because the calculation included cumulative tokens from previous training se... | {
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- `transformers` version: 4.53.3
- Platform: Linux-6.14.0-1014-gcp-x86_64-with-glibc2.39
- Python version: 3.12.3
- Huggingface_hub version: 0.34.4
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- Python version: 3.12.3
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"merged_at... | # What does this PR do?
Fixes #39030. Propagates token through `list_repo_templates` to `list_repo_tree`.
## Who can review?
@ArthurZucker @Rocketknight1 | {
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"merged_at... | Missed a few in my previous PR.
Also some models were in the wrong modalities in `_toctree.yml`
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"merged_at... | This PR fixes a bug where user-provided `chat_template` parameters were being overwritten by model defaults when creating a processor. The fix ensures that user-provided values take precedence over model defaults.
Fixes #40913
## Problem
When creating a processor with a user-provided `chat_template` parameter, the v... | null | {
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- `transformers` version: 4.57.0.dev0
- Platform: Linux-5.4.0-80-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.34.5
- Safetensors version: 0.5.3
- Accelerate version: 1.6.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (acc... | {
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The model `instructblip-vicuna-7b` gives wildly different results when specifying `attn_implementation='eager'` and not specifying anything. Furthermore, when specifying eager attention, the model seems to work correctly, while not specifying gives valid but noticeably worse results. For example, when ... | {
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"merged_at... | A first time contributor to HF here!
## What does this PR do?
- Fixes a `RuntimeError` that occurs when loading the Gemma 3n model with an outdated version of the `timm` library; it's caused by the absence of the required `mobilenetv5_300m_enc` vision model in older `timm` versions.
- The newer error explicitly ... | {
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- Deploys Trackio by default (instead of keeping local). See internal discussion here https://huggingface.slack.com/archives/C08SW1X12C8/p1758056496519289?thread_ts=1757706409.065919&cid=C08SW1X12C8 and
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"merged_at... | # What does this PR do?
These tests are failing after #40657.
As discussed offline [here](https://huggingface.slack.com/archives/C01NE71C4F7/p1758117410373159?thread_ts=1758031736.841469&cid=C01NE71C4F7), it's expected
TL:DR
> The logits are updated due to changes in assistant temperature, as we move from ... | {
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This test is failing on GPU due to
> FAILED tests/models/glm4v/test_modeling_glm4v.py::Glm4vModelTest::test_eager_matches_fa2_generate - RuntimeError: cu_seqlens_q must be on CUDA
see [here](https://github.com/huggingface/transformers/actions/runs/17784986682/job/50551078682)
We need... | {
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https://api.github.com/repos/huggingface/transformers/issues/40946 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40946/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40946/comments | https://api.github.com/repos/huggingface/transformers/issues/40946/events | https://github.com/huggingface/transformers/issues/40946 | 3,426,997,724 | I_kwDOCUB6oc7MQ9Xc | 40,946 | Docs (zh-hans): Revert certain terms to English for clarity and professional consistency | {
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First of all, thank you for the great work on the `transformers` library and for providing multi-language documentation.
I am writing to suggest some improvements for the Simplified Chinese README file (`i18n/README_zh-hans.md`). As a Chinese-speaking user, I believe that reverting a few spec... | {
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"merged_at... | Use small models in all tests. Only `timm_backbone` cannot enforce it, because it cannot propagate kwargs. ALL other models should never override this tests, otherwise the CI becomes super slow.
cc @ydshieh fir viz! | {
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"merged_at... | # What does this PR do?
Follow up to add more activation kernels to https://github.com/huggingface/transformers/pull/40890
<img width="1918" height="756" alt="image" src="https://github.com/user-attachments/assets/51acd3ae-5328-45bc-8533-9cf275e8a9ab" />
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This PR improves the localization quality of the Simplified Chinese README (`README_zh-hans.md`) by replacing a colloquial term with more professional vocabulary.
Specifically, the informal term `魔改` (mó gǎi), which is a slang for "heavy modification," has been replaced with the standard a... | {
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As per the title | {
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# What does this PR do?
This PR corrects an incomplete Simplified Chinese description in the documentation by adding the missing term **"函数库" (library)**. The change ensures consistency with the Traditional Chinese version and fixes grammatical/semantic ambiguities.
### Background & Motivation
The original Simpl... | {
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