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Fixes #39711
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When I used Trainer to train, I defined the compute_metrics by myself, as follows, but when I ran it, I would report an error as follows, I printed it according to the position of the error, and found that the length of the first dimension of the predictions shape and labels shape in the in compute_met... | {
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Affects models like Gemma3
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Fixes https://github.com/huggingface/transformers/issues/39730!
If the Layer were initialized on the correct device in the beginning, this should not be needed. However, as explained in the comment and as was the case before, sometimes `generate` does not initialize them correctly (this shou... | {
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Fixes the BC (#39636) invalids a previous PR
Update `GemmaIntegrationTest::test_model_2b_bf16_dola` (#39362)
and the original expect value works again. | {
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- `transformers` version: 4.54.0
- Platform: Linux-5.15.0-1083-gcp-x86_64-with-glibc2.31
- Python version: 3.12.10
- Huggingface_hub version: 0.34.1
- Safetensors version: 0.5.3
- Accelerate version: 1.6.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (accelerat... | {
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This is follow-up of #37340. mypy and pyright consider redundant aliases as public symbols. Therefore, it is necessary to re-export symbols to make them happy.
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"merged_at... | This fixes the sneaky regression introduced in #38086 causing loading errors for falcon_mamba:
```
"line": "tests/models/falcon_mamba/test_modeling_falcon_mamba.py::FalconMambaModelTest::test_model_from_pretrained",
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Calling the processor with video inputs raises warning `Unused kwargs "images"` because we are passing `images=None` to the video processor | {
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https://api.github.com/repos/huggingface/transformers/issues/39726 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39726/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39726/comments | https://api.github.com/repos/huggingface/transformers/issues/39726/events | https://github.com/huggingface/transformers/pull/39726 | 3,269,236,136 | PR_kwDOCUB6oc6g8VGf | 39,726 | [qwen-vl] fix beam search with videos | {
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"merged_at... | # What does this PR do?
As per title, the tests covered only image input so we never noticed the bug. It has been there since model release
Fixes https://github.com/huggingface/transformers/issues/39723
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As per the title. Time for cleanups!
cc @gante @qubvel @zucchini-nlp as well as you started some of those deprecation cycles! | {
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https://api.github.com/repos/huggingface/transformers/issues/39724 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39724/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39724/comments | https://api.github.com/repos/huggingface/transformers/issues/39724/events | https://github.com/huggingface/transformers/pull/39724 | 3,268,851,147 | PR_kwDOCUB6oc6g6-JF | 39,724 | Fix int4 quantized model cannot work with cpu | {
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Currently the CPU can support int4 quantized model, should not prevent its execution.
```
import torch
from transformers import TorchAoConfig, AutoModelForCausalLM, AutoTokenizer
from torchao.quantization import Int4WeightOnlyConfig
from torchao.dtypes import Int4CPULayout
quant_conf... | {
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- `transformers` version: 4.53.2
- Platform: Windows-10-10.0.26100-SP0
- Python version: 3.10.18
- 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 (accelerator?): 2.5.1+cu118 ... | {
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"merged_at... | # Adding Intern-S1
This PR adds the support of codes for the Intern-S1 models. Please visit https://huggingface.co/internlm/Intern-S1
## Features
- Strong performance across language and vision reasoning benchmarks, especially scientific tasks.
- Continuously pretrained on a massive 5T token dataset, with over... | null | {
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Currently, GGUF versions of Qwen3 MoE models raises "GGUF model with architecture qwen3moe is not supported yet" error.
### Motivation
Qwen3 GGUF models with MoE will successfully run.
### Your contribution
This PR resolves this issue: #39638 | {
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- `transformers` version: 4.54.0
- Platform: Linux-5.10.135.bsk.6-amd64-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.34.1
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- Accelerate config: not found
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centos 8
python:3.9
transformer: 4.54.0
vllm: 0.10.0
cuda: 12.9
### Reproduction
launch cmd: `vllm serve $local_model_path --host ***** --port 8081 --dtype bfloat16 --pipeline-parallel-size 1 --tensor-parallel-size 8 --trust-remote-code --enable-chu... | {
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"merged_at... | - Change processor from siglip2-base-patch16-224 to siglip2-large-patch16-512 to match model
- Ensures quantization example works correctly
- Fixes issue #39692
# What does this PR do?
Documentation Update
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your ... | null | {
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Currently a fork bomb is being created due to the accelerator preparing a new dataloader at each evaluation when dataloader_persistent_workers=True.
It appears there was an attempt to fix this issue #29538 but the problem seems to still exist. I tried using version 4.39.0 which was the fir... | {
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- Platform: Linux-5.15.0-144-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.34.1
- Safetensors version: 0.5.3
- Accelerate version: 1.9.0
- Accelerate config: - compute_environment: LOCAL_MACHINE
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Translated the `main_classes/processors.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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Translated the `main_classes/backbones.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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Translated the `main_classes/optimizer_schedules.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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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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When using OWLv2 with visual prompt, like this:
```python
processor = AutoProcessor.from_pretrained("google/owlv2-base-patch16-ensemble")
model = Owlv2ForObjectDetection.from_pretrained("google/owlv2-base-patch16-ensemble")
target_image = Image.open(...)
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Fixes # (issue)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create-a-pull-request),
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"merged_at... | # What does this PR do?
This PR adds a new Bengali localization section to the documentation of the Transformers library.
- Introduces a new folder: `docs/source/bn/`
- Adds a localized file: `index.md` providing an introduction to the Transformers library in Bengali
- Adds a new file: `i18n/README_bn.md` to gu... | null | {
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Fixes #39554
The original implementation of the `flash_attention_forward` function is restricted to performing **causal attention** and does not support **bidirectional attention**. This behavior stems from how the function handles causality:
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Updates the documentation link in the docstring to reference the general Python 3 docs instead of Python 3.7 which is now end-of-life. Referencing the main Python 3 docs is more appropriate and future-proof.
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Note: Please search to see if an issue already exists for the language you are trying to translate.
-->
Hi!
Let's bring the documentation to all the Bengali-speaking community 🌐 (currently 0 out of 267 complete)
Who would want to translate? Please follow the 🤗 [TRANSLATING guide](https://github.com/huggingfac... | null | {
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fine-tuned directly from low to high resolution, through the collaboration of innovative interleaved window attention and
depthwise separable convolution. This approach uses attention to connect distant tokens a... | {
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File "/data1/users/hexiao/project_hx/dpo_contrastive_dataset_contrusct/5-0-extrae-1118.py", line 47, in <module>
inputs = processor(images=images, text=prompt, return_tensors="pt", padding=True).to(model.device)
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This PR replaces the mT5 model card with a new model card matching the format introduced in #36979.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
@stevhliu
## Notes
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This standardizes the BARThez model card according to the template outlined in #36979.
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Tensor Parallel saving doesn't work because currently it would use the default of checking args.should_save which would only save on rank0, but we need to coordinate across TP ranks to gather the dtensors.
This is still in draft as I need to solve for FSDP + TP too.
@S1ro1
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Hi,
While a lot has been mentioned about gemma-3n-E2B and gemma-3n-E4B about the COnditional parameter loading and reduced memory loading
There is no configuration currently visible in transformers for supporting that.
Is it possible to get the related configuration/code/documentation to make it work t... | {
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Fixes a crash in `Exaone4Config.__init__` when `sliding_window_pattern` is `None` (EXAONE-4.0-1.2B) or a string like `"LLLG"` (EXAONE-4.0-32B). The original code unconditionally performed a modulo operation on `sliding_window_pattern`, causing either a `ZeroDivisionError` or a `TypeError`. It... | null | {
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TypedStorge has been deprecated for a while now https://github.com/pytorch/pytorch/commit/ee28b865ee9c87cce4db0011987baf8d125cc857 and I'm getting this warning when using TP
```
/root/miniconda3/envs/py3.11/lib/python3.11/site-packages/transformers/pytorch_utils.py:302: UserWarning: Typed... | null | {
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```
- `transformers` version: 4.54.0
- Platform: Linux-5.15.0-124-generic-x86_64-with-glibc2.35
- Python version: 3.11.11
- Huggingface_hub version: 0.34.1
- Safetensors version: 0.5.3
- Accelerate version: 1.8.1
- Accelerate config: - compute_environment: LOCAL_MACHINE
- distributed_type: F... | {
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All the tracking library support `run_name=None`, and usually generate a name in this case, which can be quite practical.
Consequently, we don't need setting this value to `output_dir` when `None`
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4.54.0 bug: ImportError: cannot import name 'deterministic_g' from 'transformers.modeling_flash_attention_utils'
4.53.3: import success
@ArthurZucker
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially su... | {
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"merged_at... | 1. Fixes ndim check on device_mesh - This was merged in previously with #38949 but was by mistake reverted by #39501, we need this for upcoming accelerate/axolotl release.
2. Makes sure we save properly on distributed rank if tp allowed in trainer
cc @ArthurZucker @SunMarc | {
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- `transformers` version: 4.54.0
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.10.6
- Huggingface_hub version: 0.34.1
- Safetensors version: 0.5.3
- Accelerate version: 1.9.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (accelerator?): 2.7.1+cu128 (... | {
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fixed spelling issues | {
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This PR adds support for passing a custom `hf_quantizer` instance to `from_pretrained` via kwargs.
Fixes #31738
## 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](htt... | null | {
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#39501 refactored the TP into `distribute_model` and it seems like this part:
https://github.com/huggingface/transformers/pull/39501/files#diff-6b72b98c4c2dcfc6cc606843917733f5d858374fbc22a735ff483bbc0c1e63eaL5130-L5132
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**Describe the issue**
Hi team, I'm working on reproducing the great deepseek-v3 model on [torchtitan](https://github.com/pytorch/torchtitan/tree/refs/heads/main) . While I'm trying to run numerical verification, I noticed the rotary embedding i... | {
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Run this:
```
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
# Load the base model in FP16
base_model = AutoModelForCausalLM.from_pretrained(
"unsloth/gemma-3-1b-pt",
low_cpu_mem_usage=True,
return_dict=True,
torch_dtype=torch.float16,
device_map="mps"... | {
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transformers version v4.53.3
```
<frozen runpy>:128: RuntimeWarning: 'torch.utils.collect_env' found in sys.modules after import of package 'torch.utils', but prior to execution of 'torch.utils.collect_env'; this may result in unpredictable behaviour
Collecting environment information...
PyTorch versi... | {
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Extend `GenerationMixin`'s `_assisted_decoding` to support multiple candidates and tree search.
Specifically, sample multiple draft tokens per decoding step, thereby improving the acceptance rate and speedup.
### Motivation
Current assisted decoding in `transformers` employs single-candidate dra... | null | {
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"merged_at... | # Description
Fixes #39191 where transformers ignored accelerate configuration to disable torch.dynamo, leading to unexpected compilation and `FailOnRecompileLimitHit` errors.
## Problem
When users configure accelerate to disable torch.dynamo, transformers' automatic compilation in `_valid_auto_compile_crite... | null | {
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Provide an optional `tree_attention` flag in `model.generate()` that enables Tree-Attention decoding for beam search.
Tree-Attention reuses the common prefixes among beams by organizing them into a prefix tree, reducing redundant computations and improving inference speed.
### Motivation
When `nu... | null | {
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As per the title. Models without tied weights should not need to override it to skip it -> let's do it inside directly
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No reason to force to tie the embeddings, as then the test will fail for models that do NOT tie the weights by default
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The flag is absolutely critical to work correctly, as the mask creation functions rely on it.
This fixes all the `generate_beyond_sliding_window` tests
cc @manueldeprada @ydshieh for viz | {
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Enables padding-free training for granite hybrid moe models, analogously to #35861
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As per title, failing after latest [cache compatibility PR](https://github.com/huggingface/transformers/pull/38635) | {
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transformer version : 4.53.3 ,
python 3.10
`train.py: error: argument --deepspeed: invalid dict value: '/mnt/zero3.json'`
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples... | {
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https://github.com/huggingface/transformers/pull/39339 added back some functions that were not supposed to be here anymore!
cc @molbap for viz! | {
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as in title
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We have line
> token_indices, weight_indices = torch.where(mask)
which won't work with this test.
It's skipped also in dots1 and deepseek
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In Cache constructor (https://github.com/huggingface/transformers/blob/main/src/transformers/cache_utils.py#L1081), there are these two lines which empty layers to the cache.
```python
self.num_hidden_layers = getattr(config, "num_hidden_layers", 1)
self.append_new_layers(self.num_hidden_layers - 1)
`... | {
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The `atol` values were increased in #39412, but this change doesn't actually increase the difference between original and exported model key value layers. The logits `atol` was also set too high at 1e-5 when 1e-7 is sufficient.
After this change, the test still passes.
```sh
$ python3 ... | {
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Update `QAPipelineTests::test_large_model_course` after #39193 | {
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This PR supersedes https://github.com/huggingface/transformers/pull/35377 for convenience, because I could not push on the other PR for some final cleanups (org where the fork was made is protected or something)
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"merged_at... | Some post-merge adjustments based on the hub config and merged PRs there:
- Rename MoE to Moe to be consistent with other models + hub config architecture
- Remove revision in tests
- MTP is not supported currently so disabling warnings for those keys
This does not affect functionality but more so maintenance cc ... | {
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"merged_at... | Some small fixes:
1. If there are no imports from the modeling files, an exception is raised https://github.com/huggingface/transformers/blob/ff76b6a07fb0d16ee9b31b5f1cd7ddb5f02b6774/utils/create_dependency_mapping.py#L47-L58 Otherwise, the users currently see the assert message only, which is not helpful https://gi... | {
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"merged_at... | # What does this PR do?
#38976 makes our torch export integration compatible with models on GPU.
However, there is possibly something wrong with it: small models cause GPU OOM in our related tests. This PR reverts the device while we [I need help from the export folks] are exploring the issue, to prevent other re... | {
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(see title) | {
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#39516 updates the `ko` table of contents to match the updated `en` docs.
However, a few problems resulted from the update, which causes `doc-builder` [failures](https://github.com/huggingface/transformers/actions/runs/16518240279/job/46713844556):
1. `.md` files that are not used anywhe... | {
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This PR addresses an issue where the loss scaling during gradient accumulation is incorrect for the final optimizer step of an epoch if the total number of batches is not perfectly divisible by `gradient_accumulation_steps`.
Currently, the loss for each micro-batch is always divided by the... | {
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Replaced the previous model card for ERNIE by the standardized model card introduced in issue https://github.com/huggingface/transformers/issues/36979
Links to recent introduced ERNIE 4.5 and ERNIE 4.5 MOE models are also added in this model card.
## Before submitting
- [x] This PR fix... | {
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- `transformers` version: 4.53.3
- Platform: Linux-6.11.0-29-generic-x86_64-with-glibc2.39
- Python version: 3.11.13
- Huggingface_hub version: 0.33.5
- Safetensors version: 0.5.3
- Accelerate version: 1.9.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (acceler... | {
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- Processor implementation (`processing_voxtral.py`)
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follow up to PR #[39622](https://github.com/huggingface/transformers/pull/39622) as these new lines from #39474 causes this during training w multi-gpu
```
[rank2]: File "/root/miniconda3/envs/py3.11/lib/python3.11/site-packages/flash_attn/flash_attn_interface.py", line 165, in _flash_att... | {
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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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So I am using the hugging face inference API and the model wont work on the inference API but works in the hugging face model playground: huggingface_hub.errors.HfHubHTTPError: 404 Client Error: Not Found for url: https://router.huggingface.co/hf-inference/models/HuggingFaceTB/SmolLM3-3B What should I... | {
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Translated the `deepseek_v3.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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So with [this PR changing the default for how the train loss is scaled](https://github.com/huggingface/transformers/pull/39395) and with [accelerate now supporting composable parallelisms](https://github.com/huggingface/accelerate/pull/3682), we need to update these token scaling to only scale across t... | {
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Please develop DataCollatorForVisionLanguageModeling to support visual model training !!!
### Motivation
Please develop DataCollatorForVisionLanguageModeling to support visual model training !!!
### Your contribution
- simple like:
```python
from dataclasses import dataclass
from typing import... | null | {
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"merged_at... | as discussed in https://github.com/huggingface/diffusers/pull/11690, ut `pytest -rA tests/models/chameleon/test_modeling_chameleon.py::ChameleonVision2SeqModelTest::test_model_parallel_beam_search` w/ 2 cards, the error log is "RuntimeError: Expected all tensors to be on the same device, but found at least two devices... | {
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"merged_at... | # What does this PR do?
Small PR adding a `.default_message` method to all multimodal processors. Handles just image and text input for now, expandable to videos if there's interest.
Example usage:
<img width="1099" height="481" alt="image" src="https://github.com/user-attachments/assets/96b6197f-795f-4326-b6... | {
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"merged_at... | # What does this PR do?
Outdated `Cache` references in the Korean docs are breaking our full doc builder run -> https://github.com/huggingface/transformers/actions/runs/16446789118/job/46480867839
This PR copy-pastes `Cache` references from the English docs. | {
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DO NOT MERGE | {
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"merged_at... | # What does this PR do?
This PR fixes an issue with the quantization [docker](https://github.com/huggingface/transformers/actions/runs/16484958005/job/46652740114). fp-quant requires to have [py3.11](https://github.com/IST-DASLab/FP-Quant/blob/b7f7462b54c8d572a63bb7a8668da22a4e93079a/inference_lib/setup.py#L19) but ... | {
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https://api.github.com/repos/huggingface/transformers/issues/39640 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39640/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39640/comments | https://api.github.com/repos/huggingface/transformers/issues/39640/events | https://github.com/huggingface/transformers/pull/39640 | 3,260,281,519 | PR_kwDOCUB6oc6gegfI | 39,640 | [timm] new timm pin | {
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"merged_at... | # What does this PR do?
Updates the pin in timm to allow the latest version (1.0.19), but excludes a version that's incompatible with older python versions (1.0.18).
NOTE: `timm==1.0.18` is causing red CI e.g. [here](https://app.circleci.com/pipelines/github/huggingface/transformers/139243/workflows/33c8dbbb-e29b... | {
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https://api.github.com/repos/huggingface/transformers/issues/39639 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39639/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39639/comments | https://api.github.com/repos/huggingface/transformers/issues/39639/events | https://github.com/huggingface/transformers/pull/39639 | 3,260,271,189 | PR_kwDOCUB6oc6geeSN | 39,639 | Fix: explicit not none check for tensors in flash attention | {
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"merged_at... | # What does this PR do?
Current use_mask check in flash attention:
`use_mask = position_ids is not None or all([cu_seq_lens_q, cu_seq_lens_k, max_length_q, max_length_k])`
throws error
```
use_mask = position_ids is not None or all([cu_seq_lens_q, cu_seq_lens_k, max_length_q, max_length_k])
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"merged_at... | # What does this PR do?
Currently, GGUF versions of Qwen3 MoE models raises "GGUF model with architecture qwen3moe is not supported yet" error. This PR resolves this issue.
Fixes #39721
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
... | {
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