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https://api.github.com/repos/huggingface/transformers/issues/41442 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41442/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41442/comments | https://api.github.com/repos/huggingface/transformers/issues/41442/events | https://github.com/huggingface/transformers/pull/41442 | 3,494,909,707 | PR_kwDOCUB6oc6srINg | 41,442 | Fix/perceptionlm auto alias | {
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"merged_at... | ### What does this PR do?
Removes references to a non-existent base model from the Auto mappings so enumeration and lazy imports work as expected.
- Remove `perception_encoder` entries from Auto mappings
- `src/transformers/models/auto/modeling_auto.py`
- `src/transformers/models/auto/configuration_auto.py`... | {
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https://api.github.com/repos/huggingface/transformers/issues/41441 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41441/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41441/comments | https://api.github.com/repos/huggingface/transformers/issues/41441/events | https://github.com/huggingface/transformers/pull/41441 | 3,494,891,435 | PR_kwDOCUB6oc6srELY | 41,441 | Enhance the handling of Union types in HfArgumentParser | {
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This PR enhance the handling of Union types containing `str` by two rules:
1. If `str` in `Union` and `Union` has more than one other types pass `str` to `parser.add_argument`. The caller is responsible to convert the string argument to a more proper type.
2. Otherwise, `Union` must be `X |... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41440 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41440/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41440/comments | https://api.github.com/repos/huggingface/transformers/issues/41440/events | https://github.com/huggingface/transformers/pull/41440 | 3,494,721,771 | PR_kwDOCUB6oc6sqfC1 | 41,440 | Fix generate outputs and simplify cache tests | {
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"merged_at... | # What does this PR do?
Improve the cache tests.`test_past_key_values_format` should really rely on `_check_past_key_values_for_generate` as they do the same, and we otherwise have to overwrite both for models with non-standard cache format, which is really annoying!
This made me realize that `generate` does not ... | {
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"merged_at... | # What does this PR do?
This PR patches the `MistralCommonTokenizer`:
1. [BUG FIX] spm now is correctly supported as previous usage would result in an error for `_piece_to_id` and `_is_control_token`.
2. [BUG FIX] previous implementation of `_piece_to_id` was incorrect for Tekkenizer.
a) the special tokens were... | {
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Update our philosophy page to reflect developments in the recent [blog post](https://huggingface.co/spaces/transformers-community/Transformers-tenets).
Explicitly mention tenets, include modular transformers, and link to the blog. | {
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https://api.github.com/repos/huggingface/transformers/issues/41437 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41437/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41437/comments | https://api.github.com/repos/huggingface/transformers/issues/41437/events | https://github.com/huggingface/transformers/pull/41437 | 3,494,573,524 | PR_kwDOCUB6oc6sp-37 | 41,437 | perception_lm: remove perception_encoder from auto-maps | {
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Removes references to a non-existent base model from the Auto mappings so enumeration and lazy imports work as expected.
- Remove `perception_encoder` entries from Auto mappings
- `src/transformers/models/auto/modeling_auto.py`
- `src/transformers/models/auto/configuration_auto.py`... | {
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https://api.github.com/repos/huggingface/transformers/issues/41436 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41436/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41436/comments | https://api.github.com/repos/huggingface/transformers/issues/41436/events | https://github.com/huggingface/transformers/pull/41436 | 3,494,438,544 | PR_kwDOCUB6oc6sphYF | 41,436 | v5 dev version | {
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https://api.github.com/repos/huggingface/transformers/issues/41435 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41435/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41435/comments | https://api.github.com/repos/huggingface/transformers/issues/41435/events | https://github.com/huggingface/transformers/pull/41435 | 3,494,436,084 | PR_kwDOCUB6oc6spg1E | 41,435 | Allow passing `tp_plan` in `from_pretrained` directly | {
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"merged_at... | # What does this PR do?
As per the title. Also fixes the tp_plan internal for non-based models.
I checked with the following, and it works nicely:
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
from torch.distributed.tensor.debug import visualize_sharding
from torch.dis... | {
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https://api.github.com/repos/huggingface/transformers/issues/41434 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41434/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41434/comments | https://api.github.com/repos/huggingface/transformers/issues/41434/events | https://github.com/huggingface/transformers/pull/41434 | 3,494,164,413 | PR_kwDOCUB6oc6somGb | 41,434 | Fix: Add Perceiver model registry test and correct auto mappings | {
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"merged_at... | # Summary
This PR adds testing and registry validation for the **Perceiver** model within the Hugging Face Transformers codebase.
## Changes Made
- Tested a standalone `test_registry.py` to validate Perceiver model registration and tokenizer mapping.
- Corrected auto model and tokenizer mappings to ensure `perc... | {
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https://api.github.com/repos/huggingface/transformers/issues/41433 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41433/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41433/comments | https://api.github.com/repos/huggingface/transformers/issues/41433/events | https://github.com/huggingface/transformers/pull/41433 | 3,493,954,967 | PR_kwDOCUB6oc6sn4s4 | 41,433 | Fix: remove invalid PerceptionEncoder and ParakeetCTCTokenizer registry entries (#41387) | {
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"merged_at... | This PR fixes issue #41387 by commenting out invalid auto registry entries:
- Removed non-existent `PerceptionEncoder` mapping in `modeling_auto.py`
- Removed non-existent `ParakeetCTCTokenizer` mapping in `tokenization_auto.py`
Local tests:
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https://api.github.com/repos/huggingface/transformers/issues/41432 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41432/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41432/comments | https://api.github.com/repos/huggingface/transformers/issues/41432/events | https://github.com/huggingface/transformers/pull/41432 | 3,493,637,633 | PR_kwDOCUB6oc6sm2W8 | 41,432 | [WIP] Refactor check_auto_docstring using AST | {
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Use AST instead of parsing the raw code to check for missing args in docstrings of class/functions using auto_docstring | null | {
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"merged_at... | ## Description
This PR fixes the ONNX export issues for Marian translation models described in issue #40122. The original problem was that ONNX exported Marian models produced incorrect translation outputs compared to their PyTorch counterparts.
## Problem Summary
The issue manifested when users exported OPUS (Maria... | {
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"merged_at... | @ydshieh , I tried your `PATCH_TESTING_METHODS_TO_COLLECT_OUTPUTS=yes`, it's cool. And my env is Python 3.12, so the `_Outcome.errors` has changed to `_Outcome.result.errors`, so I do a minor enhancement to make it work in my env. @ydshieh Pls help review, thx very much. | {
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@ydshieh @SunMarc pls help review, thx very much | {
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https://api.github.com/repos/huggingface/transformers/issues/41427 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41427/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41427/comments | https://api.github.com/repos/huggingface/transformers/issues/41427/events | https://github.com/huggingface/transformers/pull/41427 | 3,492,458,041 | PR_kwDOCUB6oc6si9r6 | 41,427 | [`FA`] Cleanup loading logic | {
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"merged_at... | # Problem
`pytest -rA tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_generation_beyond_sliding_window_with_generation_config` generate different output even `do_sample=False` in `generation_config = GenerationConfig(max_new_tokens=20, do_sample=False)`, which makes UT fails
# Root cause... | {
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As per the title | {
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- Jetmoe doesn't repeat the kv heads with `repeat_interleave` but uses `repeat`, i.e. different patterns
- Position ids wasn't passed down leading to padding free not working
Should hopefully align the tests again in #41377 (at least checked locally on o... | {
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https://api.github.com/repos/huggingface/transformers/issues/41422 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41422/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41422/comments | https://api.github.com/repos/huggingface/transformers/issues/41422/events | https://github.com/huggingface/transformers/pull/41422 | 3,492,109,354 | PR_kwDOCUB6oc6shyd4 | 41,422 | Fix tests fsdp | {
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This PR fixes all fsdp tests as there were some regressions:
- fsdp typing changed so hf parser had issues
- `fused_adamw_torch` (new default for users with torch >=2.8) + fp16 + FSDP don't work cc @winglian @qgallouedec did you face this issue ?
- Fix cmd by using `fsdp_config`, this wa... | {
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1. the logic of how to generate tokens have been moved to the CB processor, which also handles the cuda graphs
2. the generation step automatically slices the tensors to remove all padding unless cuda graphs are activated
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"merged_at... | ## What does this PR do?
Fixed: Expected self.dtype to be equal to src.dtype - routing_weights casting
## Related issue
Fixes [#41418](https://github.com/huggingface/transformers/issues/41418) | {
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Adds QAT support for finegrained FP8, simply calling `prepare_model` should prepare the model for qat:
```
quantization_config = FineGrainedFP8Config(
weight_block_size=(128, 128),
)
model = AutoModelForMaskedLM.from_pretrained(model_name, device_map="auto", dtype=torch.bfloat16)... | null | {
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- `transformers` version: 4.57.0
- Platform: Linux-5.14.0-452.el9.x86_64-x86_64-with-glibc2.34
- Python version: 3.12.11
- Huggingface_hub version: 0.35.3
- Safetensors version: 0.6.2
- Accelerate version: 1.10.1
- Accelerate config: not found
- DeepSpeed version: 0.17.6
- PyTorch version (accelerat... | {
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Spiritual successor to #41076 -- removes `prune_heads` and related code/tests/docs.
`prune_heads` was a feature that we stopped including in models a while ago. For instance, the `test_head_pruning_save_load_from_config_init` test passes in 28 model classes, but is skipped in 444. | {
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This PR fixes bnb loading when using FSDP for pre-quantized checkpoints. This happened because we changed how we load quantized checkpoints as we need to cache all the quantized stats before creating the quantized weight. | {
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Fixes comments in global __init__ file | {
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Fix a small typo | {
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- fixes #41387
- and fixes warning
```
🚨 Config not found for parakeet. You can manually add it to HARDCODED_CONFIG_FOR_MODELS in utils/auto_docstring.py
```
- and fixes auto tokenizer mapping that was not updated when moving from `ParakeetCTCTokenizer` to `ParakeetTokenizerFast`
---
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When using `importlib.util.find_spec(pkg_name)`, this might return some packages that are not importable but still exist. In this pr we simply check if they can be loaded | {
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https://api.github.com/repos/huggingface/transformers/issues/41410 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41410/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41410/comments | https://api.github.com/repos/huggingface/transformers/issues/41410/events | https://github.com/huggingface/transformers/pull/41410 | 3,491,487,739 | PR_kwDOCUB6oc6sfsoz | 41,410 | Remove Python 3.9 classifier | {
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Follows recent clean-up. | {
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It was identified in vLLM's Transformers nightly test https://buildkite.com/vllm/ci/builds/33777/steps/canvas?sid=0199bcd4-8cf7-442a-a94d-df2969d65bde | {
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The benchmarking suite is now based around three main components:
- `BenchmarkingConfig` is a dataclass-like object which contains everything needed to reproduce a benchmark on the same machine: input length, generation length, whether to u... | {
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"merged_at... | # What does this PR do?
Fixes #40560
This PR resolves an issue in `Trainer` where continuing training from a checkpoint (`--resume_from_checkpoint`) causes unrealistically high **tokens per second** values at the beginning of resumed runs.
### Root Cause
When resuming training, the `start_time` passed to `_... | {
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🚨🚨🚨 DO NOT MERGE 🚨🚨🚨
Merging this PR will break `from transformers import Trainer` on the latest PEFT release (`0.17.1`), which in turn breaks our `make fixup` when PEFT is installed. PEFT `main` already sorted this issue ([here](https://github.com/huggingface/peft/commit/41c07f04458... | null | {
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"merged_at... | # What does this PR do?
This PR:
- Removes the last remnants (🤞) of tuple cache input support, scheduled to be removed in v4.58
- Removes other minor items scheduled to be removed in v4.58, caught in the search
- Updates a few incorrect `past_key_values` type hints
- ⚠️ EDIT: add cache initialization in `forwar... | {
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This PR removes `half_precision_backend` and `include_tokens_per_second` as we move to v5. | {
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This PR removes `ray_scope` from `TrainingArguments`. Instead, users will have to set the env var RAY_SCOPE if they want to change its value. | {
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TF-related folder that flew under the radar :) (seems unused in the lib, latest commit was 4 years ago) | {
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This PR implements [LFM2-8B-A1B](https://huggingface.co/LiquidAI/LFM2-8B-A1B), a hybrid Mixture-of-Experts architecture variant of [LFM2](https://huggingface.co/collections/LiquidAI/lfm2-686d721927015b2ad73eaa38). The LFM2 family is optimized for on-device inference by combining short‑range, ... | {
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This PR updates the _prepare_special_tokens in the generation utilities to automatically infer a correct attention mask when none is provided and pad_token_id == eos_token_id.
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Add a filter that only displays official model releases.
### Motivation
When looking to compare various models I would like to start from the original model provider (Qwen, Kimi, DeepSeek, etc...) and then check out quantizations, finetunes, etc... With the volume of models being pushed on Huggi... | null | {
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- `transformers` version: 4.57.0.dev0
- Platform: macOS-15.7.1-x86_64-i386-64bit
- Python version: 3.12.10
- Huggingface_hub version: 1.0.0.rc2
- Safetensors version: 0.6.2
- Accelerate version: not installed
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (accelerat... | {
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I am having some strange errors/warnings when running the vit model. I am on version `4.56.0`. 2 A6000 NVIDIA GPUS. Ubuntu 20.04.6 LTS. Python 3.10.18. torch version 2.6.0+cu124.
### Who can help?
@molbap @yonigozlan
1. When I use the `AutoModel.from_pretrained` class for the `vit-base-patch16-224-i... | null | {
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The current Lfm2Cache adds empty kv-cache tensors when it detects a `layer_idx` that corresponds to an attention layer, but this ends up making the length of Lfm2Cache < `num_hidden_layers` if the last layer is not an attention layer. This change makes Lfm2Cache follow convention to the defau... | {
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ruff contains the below `FURB` rules:
```
FURB101 open and read should be replaced by Path({filename}).{suggestion}
FURB103 open and write should be replaced by Path({filename}).{suggestion}
FURB105 Unnecessary empty string passed to print
FURB110 Replace ternary if expression with or op... | {
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"merged_at... | # What does this PR do?
TLDR :
- Implement fast processor for SuperGlue
- About 3 times faster
This PR aims to translate the features of the class `SuperGlueImageProcessor` in the fast equivalent class `SuperGlueImageProcessorFast`.
The implementation heavily follows the standard implementation but reduces mem... | {
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Depends on https://github.com/huggingface/transformers/pull/41391.
These two fast image processors had issues and were not properly tested:
- There was an issue where the processors would crash if `do_resize-False`
- After conversion to binary masks, the grouped masks cannot be stacked any... | null | {
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In AutoModelForCausalLM If the model eos token and pad token is the same, automaticly set the attention mask by treating the first eos token as a normal eos token and the rest as padding tokens.
### Motivation
hi, I am using qwen3-0.6b (infrence only, no training) and got the message:
'The attent... | {
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Finishes https://github.com/huggingface/transformers/pull/37539
It also adds support to group other inputs that mirrors the shape of images in `group_images_by_shape`, it could also be useful for some other future video processors @zucchini-nlp ;).
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Following the trial testing with Qwen_VL image processors, this extends defaulting to fast image processors even for checkpoints saved with a slow one to all models.
Also made sure that all processors use AutoImageProcessor to instantiate their image_processor_class.
On that point, defini... | null | {
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- `transformers` version: 4.57.0.dev0
- Platform: Linux-5.19.0-50-generic-x86_64-with-glibc2.35
- Python version: 3.13.7
- Huggingface_hub version: 1.0.0.rc2
- Safetensors version: 0.6.2
- Accelerate version: not installed
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch vers... | {
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"merged_at... | covered modeling:
- cohere2_vesion
- ernie4_5
- internvl
- llava
- llava_next
- phi
- qwen2.5_omni
- whisper
- xglm
@SunMarc @ydshieh , pls help review, thx very much. | {
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"merged_at... | The model is broken
- Moe was initialized with wrong dims (loading the models already failed)
- Gate needs the autocast decorator as well (we need to guarantee fp32)
- Not sure why but using the forward with the moe statics works with offloading while retrieving the parameter etc does not
- The router seems like an... | {
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"merged_at... | # What does this PR do?
This PR removes `past_index`. This was supposed to allow training a few old + specific arch models like transformersxl but I don't think anyone actually did it as there is no documentation at all. I think it is fine to remove it without any deprecation msg but happy to add it if needed. Maybe... | {
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"merged_at... | # What does this PR do?
This PR removes `tpu_num_cores` arguments in `TrainingArguments`. This arg is somewhat confusing because the value is either `1` or `None` which means that we are using all devices. Instead, we remove the arg to make it clearer. Users who wants to control the number of devices can use `TPU_NU... | {
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"merged_at... | # What does this PR do?
This PR removes `local_rank` from `TrainingArguments`. This arg can be safely replaced by `local_process_index`. This arg was never meant to be set and was supposed to be there to be overwritten by torch distributed. | {
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"merged_at... | # What does this PR do?
After https://github.com/huggingface/transformers/pull/40931, the `common_kwargs` (`return_tensors` really) defaults were set after updating them with call kwargs, which mean it's impossible to override the defaults.
This fixes it by setting the common kwargs defaults before updating them wi... | {
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https://api.github.com/repos/huggingface/transformers/issues/41380 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41380/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41380/comments | https://api.github.com/repos/huggingface/transformers/issues/41380/events | https://github.com/huggingface/transformers/pull/41380 | 3,487,941,425 | PR_kwDOCUB6oc6sTqcM | 41,380 | RT-Detr correct 2d positional embeddings for non-square images | {
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"merged_at... | # What does this PR do?
This PR solves a subtle bug in how 2d positional embeddings are generated in the RT-Detr architecture. After flattening the meshgrid that generated the 2d positional embeddings, and for non-square images, the positional embeddings no longer encode the correct 2d positional information.
For... | {
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https://api.github.com/repos/huggingface/transformers/issues/41379 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41379/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41379/comments | https://api.github.com/repos/huggingface/transformers/issues/41379/events | https://github.com/huggingface/transformers/issues/41379 | 3,487,913,434 | I_kwDOCUB6oc7P5VXa | 41,379 | RT-Detr 2d positional embedding bug | {
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"url... | open | false | null | [] | null | [] | 2025-10-06T15:45:07 | 2025-10-08T05:34:59 | null | CONTRIBUTOR | null | null | null | null | I believe that there is a subtle bug in how 2d positional embeddings are generated for the rt_detr model. Specifically, when generating a meshgrid and then flattening, the positional embeddings no longer match the intended image pixels. We can see this in the script below
```python
import torch
# Create 2d grid
x = t... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41378 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41378/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41378/comments | https://api.github.com/repos/huggingface/transformers/issues/41378/events | https://github.com/huggingface/transformers/pull/41378 | 3,487,910,998 | PR_kwDOCUB6oc6sTjsP | 41,378 | 🚨🚨 Remove all traces of legacy cache format | {
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As per the title. Remove all legacy format and deprecated classes/methods. | {
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https://api.github.com/repos/huggingface/transformers/issues/41377 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41377/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41377/comments | https://api.github.com/repos/huggingface/transformers/issues/41377/events | https://github.com/huggingface/transformers/pull/41377 | 3,487,898,000 | PR_kwDOCUB6oc6sTgzn | 41,377 | [testing] Fix `JetMoeIntegrationTest` | {
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"merged_at... | # What does this PR do?
> tests/models/jetmoe/test_modeling_jetmoe.py::JetMoeIntegrationTest::test_model_8b_generation
cause the pytest process being killed (and sometimes hangs for hours), see the log below.
It loads the model on `cpu`. Let's use "auto".
The outputs changes after #41324 (which is a fix o... | {
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This PR deprecates `jit_mode_eval` arguments. Going on, it is better to fully rely on torch compile. | {
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This PR changes the default for reporting to "none" as we move to v5. Moreover, we clean some deprecations messages around some env env + we deprecate `logging_dir` that was solely used for tensorboard. Instead the user needs to pass a global variable. | {
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This PR fixes a numerical regression bug in the vision positional embedding calculation that was introduced between `transformers` versions v4.54.1 and v4.55.1. The original change was made to improve exportability but resulted in a slight floating point difference.
The fix was applied to th... | {
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This test takes 26 minutes to run, way too much to be helpful.
Let's reduce `max_new_tokens` to `10` and runs in 7 minutes. | {
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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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# What does this PR do?
This PR fixes a numerical regression bug in the vision positional embedding calculation that was introduced between `transformers` versions v4.54.1 and v4.55.1. The original change was made to improve exportability but resulted in a slight floating point difference, causing models like `Idef... | {
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https://api.github.com/repos/huggingface/transformers/issues/41370 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41370/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41370/comments | https://api.github.com/repos/huggingface/transformers/issues/41370/events | https://github.com/huggingface/transformers/pull/41370 | 3,487,261,079 | PR_kwDOCUB6oc6sRTLF | 41,370 | [`CB`] Refactors the way we access paged | {
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The user decides on the function, but CB handles itself which "interface" wrapper to use. This should make stuff easier | {
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https://api.github.com/repos/huggingface/transformers/issues/41369 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41369/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41369/comments | https://api.github.com/repos/huggingface/transformers/issues/41369/events | https://github.com/huggingface/transformers/pull/41369 | 3,487,210,499 | PR_kwDOCUB6oc6sRH6g | 41,369 | Add logits_to_keep parameter to BertForSequenceClassification | {
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"merged_at... | ## Summary
This PR adds support for the `logits_to_keep` parameter to `BertForSequenceClassification`
## Motivation
The `logits_to_keep` parameter enables memory-efficient inference by computing logits only for the last N token positions. This optimization is particularly useful for:
- Generation tasks where only... | {
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Use "auto" instead of "cpu" to avoid the pytest process being killed.
(#40132 has issue with using "auto" for this model, and we still need an fix for that)
Also using `max_new_tokens=3` to run this test within 8 minutes (on a single A10 CI runner)
The expected output is not updated... | {
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This API is completely out-of-date and superseded by everything we did on attention computation | {
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Branches out from https://github.com/huggingface/transformers/pull/40884#discussion_r2400964015 to make review and merge faster
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This showcases the project’s participation in Hacktoberfest and encourages contributors to join.
Fixes #41244
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- adds pretty print
- adds simple model-name as file
- adds release date parsing
- adds highest overall match
- optional Jaccard
- snapshot download
<img width="1724" height="1348" alt="image" src="https://github.com/user-attachments/assets/be01c840-cd27-47a7-ae41-d5f4bbb375c3" />
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Add usage example for the Granite Speech models
@eustlb
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Remove unused arguments detected by pylint. | {
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Tiny docs improvement / test contribution by Shankar. This PR is a small test to verify contribution workflow.
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https://api.github.com/repos/huggingface/transformers/issues/41356 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41356/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41356/comments | https://api.github.com/repos/huggingface/transformers/issues/41356/events | https://github.com/huggingface/transformers/pull/41356 | 3,485,189,552 | PR_kwDOCUB6oc6sKWHJ | 41,356 | Add DEIMv2 model, image processor, and basic tests | {
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"merged_at... | # What does this PR do?
This PR introduces the DEIMv2 model along with its configuration, image processor, and unit tests. The changes include:
Model Implementation: Added Deimv2ForObjectDetection supporting object detection tasks.
Configuration: Added Deimv2Config for model hyperparameters.
Image Processin... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/41355 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41355/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41355/comments | https://api.github.com/repos/huggingface/transformers/issues/41355/events | https://github.com/huggingface/transformers/pull/41355 | 3,485,057,727 | PR_kwDOCUB6oc6sJ8aV | 41,355 | Better typehints for `apply_chat_template` | {
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"merged_at... | # What does this PR do?
Make better typehints for `apply_chat_template`. Now IDEs and type checkers will correctly infer types for this code.
```py
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-0.6B")
# Returns raw string when tokenize=False
raw_prompt: str = tok... | {
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https://api.github.com/repos/huggingface/transformers/issues/41354 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41354/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41354/comments | https://api.github.com/repos/huggingface/transformers/issues/41354/events | https://github.com/huggingface/transformers/pull/41354 | 3,484,931,586 | PR_kwDOCUB6oc6sJkB6 | 41,354 | Fixed tiny incorrect import in `gemma3` | {
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"merged_at... | # What does this PR do?
Fixes tiny incorrect import in `gemma3`. This is the correct class name https://github.com/huggingface/transformers/blob/e11a00a16f925b7d3b52f5007bdce3464edb361f/src/transformers/models/paligemma/modeling_paligemma.py#L67
Fixes # (issue)
## Before submitting
- [ ] This PR fixes a typo ... | {
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https://api.github.com/repos/huggingface/transformers/issues/41353 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41353/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41353/comments | https://api.github.com/repos/huggingface/transformers/issues/41353/events | https://github.com/huggingface/transformers/pull/41353 | 3,484,926,425 | PR_kwDOCUB6oc6sJjBK | 41,353 | serve: add non-streaming mode to /v1/responses; stream event parity; remove placeholder logprobs | {
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"merged_at... | - Add `stream=false` support in `POST /v1/responses` returning a single OpenAI `Response`.
- Emit streaming deltas consistently; avoid placeholder logprobs by using empty lists.
- Stabilize tests: robust event checks; deterministic full request.
**Files:**
- src/transformers/commands/serving.py
- tests/commands/... | {
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https://api.github.com/repos/huggingface/transformers/issues/41352 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41352/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41352/comments | https://api.github.com/repos/huggingface/transformers/issues/41352/events | https://github.com/huggingface/transformers/pull/41352 | 3,484,920,884 | PR_kwDOCUB6oc6sJh7W | 41,352 | Fix typo in model proposal template | {
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"merged_at... | # What does this PR do?
This PR fixes a grammatical error.
## 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.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create-a-pul... | {
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"merged_at... | - Add `stream=false` support in `POST /v1/responses` returning a single OpenAI `Response`.
- Emit streaming deltas consistently; avoid placeholder logprobs by using empty lists.
- Stabilize tests: robust event checks; deterministic full request.
**Files:**
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- tests/commands/... | {
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https://api.github.com/repos/huggingface/transformers/issues/41350 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41350/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41350/comments | https://api.github.com/repos/huggingface/transformers/issues/41350/events | https://github.com/huggingface/transformers/pull/41350 | 3,484,775,789 | PR_kwDOCUB6oc6sJFlW | 41,350 | Resolve issue 41296 | {
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What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/41349 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/41349/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/41349/comments | https://api.github.com/repos/huggingface/transformers/issues/41349/events | https://github.com/huggingface/transformers/pull/41349 | 3,484,740,970 | PR_kwDOCUB6oc6sI-5P | 41,349 | Create (3d_parrallel_v2.py) - Add 3D parallelism training example script | {
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"merged_at... | This PR adds a new training example under examples/3D_parallel.py that demonstrates a simple training loop with distributed (DDP/TP/PP) support.
Changes included:
-Fixed invalid docstring (""" instead of """:).
-Added fallback for local_rank in non-distributed setups.
-Wrapped dist.get_rank() and dist.dest... | null | {
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Fix typehint in trainer for python3.9 compatibility
Fixes https://github.com/huggingface/transformers/issues/41339
## Before submitting
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The name of the attn type argument for `_flash_attention_forward()` should be `implementation`, instead of `attn_implementation` which currently uses in the function call. This would result in wrong type specification.
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Fixes raising of `TypeError` exception instead of `ValueError` for invalid type
## Before submitting
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- [x] Did you read the [contributor guideline](https://github.com/huggingface/transf... | {
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Downstream systems like SGLang/vLLM rely on registry/plugin systems or model-specific integration and metadata to decide whether a model is multimodal (i.e. `has_processor` in MultiModalRegistry).
There is no consistent, library-level field in PretrainedConfig that captures modality support.
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Gather only adapter weights to save model weights when training with LoRA and DeepSpeed Zero3.
### Motivation
When we use `Trainer` and train models with LoRA, trainer only saves adapter weights. However, when we use DeepSpeed Zero3, which distributes model weights on multi GPUs, and set `stage3_... | null | {
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