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Currently, `TrainingArguments.metric_for_best_model` only accepts a `str`, such as "loss" or "accuracy". I suggest we allow specifying multiple metrics as an iterable so that the training loop tracks each of them and saves to separate directories. This means we also need to allow `output_dir` to be... | null | {
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## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
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This PR implements `ModernBertForMultipleChoice` class that was missing.
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@ArthurZucker | {
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transformers==4.53.0
```
root@0bfa7bd36f4f:/home/aidan/home/fireworks# python -c "import torch; torch.utils.collect_env.main()"
Collecting environment information...
PyTorch version: 2.7.0a0+ecf3bae40a.nv25.02
Is debug build: False
CUDA used to build PyTorch: 12.8
ROCM used to build PyTorch: N/A
OS: ... | {
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This PR:
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The 2 tests are failing for long time. I also need to update one expected output values | {
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Progress:
- [x] Ernie 4.5 pure text model (0.3B)
- [x] MoE Ernie
- [x] Loading check with untied weights (tested on a dummy model)
- [x] TP tests
- [x] Failing with tied weights, needs to be fixed then it's done
- [x] Correction bias clarification
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Adds Sliding Window Attention to Continuous Batching | {
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https://github.com/huggingface/transformers/blob/e6a8063ef1af16df964b644b07e1d17e96555d23/src/transformers/models/flaubert/tokenization_flaubert.py#L208-L209
Here's more context:
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"merged_at... | Support is_torchdynamo_compiling() for older versions.
# What does this PR do?
Fixes error in `is_torchdynamo_compiling()`, which is thrown for older versions of torch, e.g. torch==2.2.2. The support for `torch._dynamo.external_utils.is_compiling()` was deprecated and torch=2.2.2 does not manage torch.compile() ... | {
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"merged_at... | Enables granite moe hybrid integration tests using the tiny preview model. Tolerance is adjusted to be more lenient for bfloat16.
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2 remaining failed tests that were missed in the previous PRs. | {
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I'm currently working on a research project that involves combining textual and audio data in a custom multimodal architecture. While the library already supports several powerful pretrained multimodal models like CLIP and Flamingo, building new custom multimodal models from scratch is still quite ... | null | {
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The final one 🏅
As discussed offline, will merge to move fast as it's only expected outputs updated for A10 | {
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The code:
import torch
from torch import nn
from torch._subclasses import FakeTensorMode
from typing import Optional, Callable, Dict, Any
from transformers import AutoModelForCausalLM, AutoTokenizer
class BaseModelLoa... | {
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Since it's for a patch there should not be a -1 | {
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### Reproduction
The current implementation in the `Trainer`'s `_inner_training_loop` for resuming from a checkpoint calls `_load_rng_state` *after* fetching the data batch with `get_batch_samples`. This logic appears to be designed to handle the complexities of `skip_first_batches` and multi-worker dataloading.
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"url... | closed | false | null | [] | null | [] | 2025-07-04T03:37:34 | 2025-08-11T08:02:57 | 2025-08-11T08:02:57 | CONTRIBUTOR | null | null | null | null | ### System Info
transformers `main` branch
### Who can help?
@eustlb @zucchini-nlp
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [x] My own task or dataset (give details below)
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# Problem
In https://github.com/huggingface/transformers/blob/037755ed54208eefa77673b0af2a0b13e51f2fb1/src/transformers/modeling_flash_attention_utils.py#L521, the condition check `(torch.diff(position_ids, dim=-1) >= 0).all())` would cause the result from the device tensor `position_ids` to be syn... | null | {
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Adds Ukrainian translation of the main README.md file to improve accessibility for Ukrainian-speaking developers and researchers.
## Changes made
- Created `i18n/README_uk.md` with a complete Ukrainian translation of the main README.md
- Added link to Ukrainian version in the main READ... | null | {
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This PR addresses issue #39208: "Unknown Model (mobilenetv5_300m_enc) when loading Gemma 3n".
## Problem
When loading Gemma 3n models, the default vision architecture is set to "mobilenetv5_300m_enc", but this architecture was not implemented in Transformers, causing an "Unknown Model" er... | null | {
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"merged_at... | This PR addresses the naming inconsistency for the FSMT base model class, as described in issue #39202.
### Changes
Renamed PretrainedFSMTModel to PreTrainedFSMTModel to match the naming convention used across the library (e.g., PreTrainedModel, PreTrainedTokenizer)
Updated all usages and exports accordingly
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```bash
- `transformers` version: 4.53.0
- Platform: Linux-6.1.141+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.33.2
- Safetensors version: 0.5.1
- Accelerate version: 1.2.1
- Accelerate config: not found
- DeepSpeed version: not installed
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As discussed offline, will merge to move fast as it's only expected outputs updated for A10
🚀 🚀 🚀 Almost! | {
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This PR fixes issue #39203 where Qwen3 MoE models crash when mlp_only_layers is non-empty and output_router_logits=True. The issue occurs because MLP-only layers return None router logits, which are incorrectly collected and passed to load_balancing_loss_func, causing a TypeError.
## Root Cau... | null | {
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As discussed offline, will merge to move fast as it's only expected outputs updated for A10
We are close! | {
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- `transformers` version: 4.52.4
- Platform: Linux-5.14.0-503.21.1.el9_5.x86_64-x86_64-with-glibc2.34
- Python version: 3.12.0
- Huggingface_hub version: 0.30.2
- Safetensors version: 0.5.3
- Accelerate version: 1.6.0
- Accelerate config: not found
- DeepSpeed version: 0.16.7
- PyTorch version (GPU?... | {
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MLPs insert a `None` into the router logit list. Therefore, when enabled in the model, they need to be filtered out either before or within the aux_loss function.
### Who can help?
@ArthurZucker
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An o... | {
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Add an alias `PreTrainedConfig` for the class `PretrainedConfig`, to follow PascalCase convention more closely, and to mirror other `PreTrained*` classes.
### Motivation
`PreTrainedModel`, `PreTrainedTokenizer` follow the PascalCase naming convention. However, `PretrainedConfig` does not. This in... | null | {
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- `transformers` version: 4.54.0.dev0
- Platform: Linux-6.1.123+-x86_64-with-glibc2.35
- Python version: 3.11.13
- Huggingface_hub version: 0.33.1
- Safetensors version: 0.5.3
- Accelerate version: 1.8.1
- Accelerate config: not found
- DeepSpeed version: not installed
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"merged_at... | * Support glm4v load from AutoModelForVision2Seq
* Set glm4v model's _checkpoint_conversion_mapping attribute from None to empty dict {}
# What does this PR do?
When use [verl](https://github.com/volcengine/verl) to train GLM4.1v model with GRPO, there are several small errors.
Here is how to fix them:
- support... | {
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This PR speeds up Granite speech by the following changes:
1. Register attention_dist to avoid cpu-to-gpu transfer every layer.
2. `pad_sequence` is much faster than per-sample-padding + concat.
3. Avoid returning audio to cpu when using a compute device.
## Before submitting
- [ ] Thi... | {
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Fixes # (issue)
fix typo in Gemma3n notes
## 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#cr... | {
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As per the title.
```python
import torch
from transformers import AutoModelForCausalLM
from transformers.masking_utils import create_causal_mask
model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B", torch_dtype=torch.float16)
batch_size = 1
sequence_length = 1... | {
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- transformers version: 4.53.0
- platform: Debian 6.1.128-1 x86_64 GNU/Linux
- python version: 3.11
- torch version: 2.7.1
- trl version: 0.19.0
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: yes, DeepSpeed ZeRO 3
### Who can help?
@SunMarc @gante
### Information
The... | {
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As discussed offline, will merge to move fast as it's only expected outputs updated for A10 | {
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- `transformers` version: 4.53.0
- Platform: Linux-5.15.0-1076-nvidia-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.30.2
- Safetensors version: 0.4.3
- Accelerate version: 0.30.1
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (accel... | {
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FSDP conf inside TrainingArguments()
```
fsdp="full_shard",
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Simplify a lot `replace_class_node` logic (I wanted to do it from a long time ago as it was all bloated and super hard to read) and simplify the docstring handling at the same time.
Basically, the idea is now to use the parent docstring if there are no docstrings, or to use the docstring i... | {
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Better typing while using from_pretrained for a specific config/processor/feature_extractor. This allows for better availability of class docs, attributes, and function signatures.
### On `main` (before)
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As per the title. See the new example to better understand the issue at hand. Before, any global indexing or attribute setting to a global variable would not be followed, because they are not a "simple and standard" variable assignment. This PR solves it.
This is needed in https://github.c... | {
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As discussed offline, will merge to move fast as it's only expected outputs updated for A10 | {
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- Start server
- Open chat session using model `meta-llama/Llama-3.2-3b-Instruct`, enter `hello` in the chat
- Open another session to the same model, enter the same message `hello`
* The chat cli specifies the revision, while other clients (Jan) don't. This may result in model rel... | {
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On the Gaudi3 machine that we use for CI, we observed some limitations on a low level (torch/synapseAI) :
- `torch.Tensor.masked_fill_` operation doesn't work with int64 dtype (only on Gaudi1).
- `torch.gather` (and `torch.Tensor.gather`) operation doesn't work with int64 dtype.
- `torch.scatter` (and ... | null | {
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I broke video inference in a recent PR by copying from Qwen2-VL. Comes out GLM4V doesn't have a video token and instead uses image token id repeated many times per frame
No need for patching, only the main branch is broken | {
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As per the title. The model test was about 180M params, making the CI quite slow. cc @ydshieh | {
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Function ``def _compute_dynamic_ntk_parameters`` is not exportable (with torch.export.export) due to a control flow, this PR rewrites it with torch.maximum.
Fixes # (issue)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that'... | {
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https://github.com/huggingface/transformers/pull/39100#issuecomment-3026536511
In #39100, the previous comment is deleted and a new one is sent. But without users refreshing the PR page, the previous comment still remains on the page (until page refresh) which seems annoying.
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- `transformers` version: 4.53.0
- Platform: macOS-15.5-arm64-arm-64bit
- Python version: 3.12.8
- Huggingface_hub version: 0.33.2
- Safetensors version: 0.5.3
- Accelerate version: not installed
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (accelerator?): 2.7.1 (... | {
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Latest transformers `main` branch
### Who can help?
@zucchini-nlp
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [x] My own task or dataset (give details below)
##... | {
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Hi,
I am trying to run FSDP Training with `Qwen/Qwen2.5-VL-3B-Instruct`, and I hit the error like this:
```
File "/home/jobuser/sglang/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/jobuser/sgl... | {
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"merged_at... | # What does this PR do?
https://github.com/huggingface/transformers/pull/38972 introduce flash attention 3 into `transformers`. However, the modification **introduce a bug** when using flash attention 2 on Ascend NPU.
The core reason is due to function names **mismatch**:
Functions defined from `transformers.... | {
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As discussed offline, will merge to move fast as it's only expected outputs updated for A10 | {
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"merged_at... | The TP model usually needs torch.compile to get speed-up, but the static cache failed on running TP model. This PR will check the tp size and then allocate the correct cache shape.
Reproduce error:
`torchrun --standalone --nproc-per-node 2 tp_hf.py`
```python
import torch
import torch.distributed as dist
from t... | {
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"merged_at... | # What does this PR do?
fix default value of config to match checkpionts in LLaVa-OV models
Fixes #39089
## 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?
@zucchini-nlp
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I've been attempting to export the HuggingFace [Mistral](https://huggingface.co/docs/transformers/model_doc/mistral?_sm_vck=fW0WBVNM3T7q2MFfHHmDslJVQjVBV4Vqsf6WkfjSqfR2VH0W6Rf3) model to ONNX format with caching on, but have been unsuccessful. After export, when I go to the config file, the `use_cache` variable... | {
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https://api.github.com/repos/huggingface/transformers/issues/39161 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39161/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39161/comments | https://api.github.com/repos/huggingface/transformers/issues/39161/events | https://github.com/huggingface/transformers/pull/39161 | 3,193,798,657 | PR_kwDOCUB6oc6c-hE- | 39,161 | fix `llama` tests | {
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"merged_at... | # What does this PR do?
Update expected values of `test_llama_3_1_hard` on `A10`.
Also need
```python
# TODO: check why we have the following strange situation.
# without running in subprocess, this test causes subsequent tests failing with `RuntimeError: Expected all tensors to be on the same device... | {
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https://api.github.com/repos/huggingface/transformers/issues/39160 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39160/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39160/comments | https://api.github.com/repos/huggingface/transformers/issues/39160/events | https://github.com/huggingface/transformers/pull/39160 | 3,193,643,039 | PR_kwDOCUB6oc6c-AQq | 39,160 | Add activation sparsity reference in gemma3n doc | {
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https://api.github.com/repos/huggingface/transformers/issues/39159 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39159/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39159/comments | https://api.github.com/repos/huggingface/transformers/issues/39159/events | https://github.com/huggingface/transformers/issues/39159 | 3,193,477,264 | I_kwDOCUB6oc6-WJiQ | 39,159 | [CI ENERGY Waste] The exist jobs in `Doctests` that has never completed successfully | {
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# Problem
`Doctests` workflow (https://github.com/huggingface/transformers/actions/runs/15988670157) runs a total of 479 jobs resulting in average of 22h in each run (https://github.com/huggingface/transformers/actions/runs/15988670157/usage). 337 out of the total run jobs are constantly failing. Would you conside... | {
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https://api.github.com/repos/huggingface/transformers/issues/39158 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39158/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39158/comments | https://api.github.com/repos/huggingface/transformers/issues/39158/events | https://github.com/huggingface/transformers/pull/39158 | 3,193,453,809 | PR_kwDOCUB6oc6c9XHR | 39,158 | Refactor `PretrainedConfig.__init__` method to make it more explicit | {
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"merged_at... | # What does this PR do?
Make the `__init__` method more explicit to highlight common arguments while creating a specific model config, so it's easier to understand if the argument should be passed to `super().__init__` or created in inherited config
cc @Cyrilvallez wdyt?
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https://api.github.com/repos/huggingface/transformers/issues/39157 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39157/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39157/comments | https://api.github.com/repos/huggingface/transformers/issues/39157/events | https://github.com/huggingface/transformers/pull/39157 | 3,193,414,959 | PR_kwDOCUB6oc6c9Olq | 39,157 | Update expected values (after switching to A10) | {
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would merge as discussed offline | {
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"merged_at... | continuation of https://github.com/huggingface/transformers/pull/39060 (so this PR also contains the object detection fix so we can run the CI with `datasets` on `main`)
it also adds support for torchcodec.decoders.AudioDecoder as input to audio classification and asr pipelines | {
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https://api.github.com/repos/huggingface/transformers/issues/39155 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39155/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39155/comments | https://api.github.com/repos/huggingface/transformers/issues/39155/events | https://github.com/huggingface/transformers/pull/39155 | 3,193,099,310 | PR_kwDOCUB6oc6c8Jlg | 39,155 | Responses API in `transformers serve` | {
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To implement the responses endpoint, I'm basing myself off of the "Streaming" tab in the OpenAPI API ref for Res... | {
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https://api.github.com/repos/huggingface/transformers/issues/39154 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39154/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39154/comments | https://api.github.com/repos/huggingface/transformers/issues/39154/events | https://github.com/huggingface/transformers/pull/39154 | 3,192,990,800 | PR_kwDOCUB6oc6c7yGk | 39,154 | fix(modeling_utils): Correctly call _init_weights in smart_apply | {
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"merged_at... | ## Description
This PR fixes issue #39124.
The `smart_apply` helper function in `modeling_utils.py` is used to recursively initialize weights in a `PreTrainedModel`. The current implementation checks if a submodule has a custom `_init_weights` method. However, if it finds one, it incorrectly attempts to pass `mod... | {
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"merged_at... | # What does this PR do?
It's missing, as one can see in
https://huggingface.slack.com/archives/C06SZSGL2AF/p1750393112155819
It's caused by
Switch to use A10 progressively (#38936)
where we add an extra variable `runner_map` | {
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"merged_at... | # What does this PR do?
Axolotl's CI caught a regression when we tried to upgrade to latest transformers. https://github.com/axolotl-ai-cloud/axolotl/actions/runs/15962262932/job/45016550543
PR #36132 introduced a regression breaking FSDP w llama
```
stderr: [rank0]: File "/root/miniconda3/envs/py3.11/lib/pytho... | {
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- `transformers` version: 4.54.0.dev0
- Platform: Linux-6.1.140-154.222.amzn2023.x86_64-x86_64-with-glibc2.35
- Python version: 3.10.17
- Huggingface_hub version: 0.33.1
- Safetensors version: 0.5.3
- Accelerate version: 1.8.1
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTor... | {
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https://api.github.com/repos/huggingface/transformers/issues/39150 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39150/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39150/comments | https://api.github.com/repos/huggingface/transformers/issues/39150/events | https://github.com/huggingface/transformers/pull/39150 | 3,192,504,226 | PR_kwDOCUB6oc6c6JGi | 39,150 | Efficient Expert Weight Fusion for Moe deepseek v3 | {
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"merged_at... | # What does this PR do?
This PR answers a call for contribution. It introduces a fully vectorized, efficient Mixture-of-Experts (MoE) implementation for the DeepseekV3 model, specifically in the class DeepseekV3Moe. The new approach eliminates the loop over experts, improving inference and training speed, especially... | null | {
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"merged_at... | # What does this PR do?
Fix Aggressive boolean conversion in the masking_utils that is breaking packing implementation
## 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/h... | {
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Fixes https://github.com/huggingface/transformers/pull/39006. The model actually had default values for sampling and thus the flag has to be set to `True` for BC
Added a small tests, we had no video tests and thus the bug went unnoticed | {
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"merged_at... | `MusicgenSinusoidalPositionalEmbedding` seems like a modified copy of `Speech2TextSinusoidalPositionalEmbedding`, however, in `__init__` method, `self.offset` is not defined for Musicgen. This removes the undefined `self.offset` variable from `MusicgenSinusoidalPositionalEmbedding` implementation.
@eustlb
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"merged_at... | # What does this PR do?
Small quality improvement of if/else statement for RotaryEmbeddings, motivated by static typechecking
The behaviour has slightly changed in case `rope_scaling` has an unexpected type:
| **Condition** | **Before (Previous Behavior)** ... | {
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"merged_at... | @SunMarc @MekkCyber, pls help review. When we use sample code on XPU like:
```
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrain... | {
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**System Info**:
```
- `transformers` version: 4.53.0
- Platform: macOS-15.5-arm64-arm-64bit
- Python version: 3.10.16
- Huggingface_hub version: 0.33.1
- Safetensors version: 0.5.3
- Accelerate version: not installed
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (... | {
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"merged_at... | This PR depends on #39106
Look at the last commit, f09e0cd1c0d61fca0098487e9dcd9dfe409b364b:
I think having the get_mask_sizes out of cache makes much more sense. There is only one extra change:
https://github.com/huggingface/transformers/blob/6b6314d5f8304a1f547b04a00a4bd06a11f51681/src/transformers/masking_uti... | {
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```bash
INFO 07-01 03:29:45 [__init__.py:244] Automatically detected platform cuda.
Collecting environment information...
==============================
System Info
==============================
OS : Ubuntu 22.04.4 LTS (x86_64)
GCC version : (Ubuntu 1... | {
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https://api.github.com/repos/huggingface/transformers/issues/39140 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/39140/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/39140/comments | https://api.github.com/repos/huggingface/transformers/issues/39140/events | https://github.com/huggingface/transformers/pull/39140 | 3,190,229,857 | PR_kwDOCUB6oc6cyc18 | 39,140 | feat(trainer): emergency checkpointing on crashes & SIGTERM/SIGINT | {
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"merged_at... | # What does this PR do?
Adds *failure-safe training* to the 🤗 `Trainer`.
* **New flag** `enable_emergency_checkpoint` in `TrainingArguments`
* default: `False` (opt-in)
* **Automatic emergency save** when training ends unexpectedly
* un-handled exception inside `Trainer.train`
* external `SIGTERM`/`SIGIN... | null | {
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Hey guys!
I would like to sincerely ask you to consider adding x-transformers library to Hugging Face transformers.
https://github.com/lucidrains/x-transformers
This library is very popular and versatile and its being used in many projects!
I am actually very surprised that this library was over... | null | {
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"merged_at... | This update improves the Marian model card to follow the Hugging Face standardized model card format. The changes include:
- Added a clear description of MarianMT, its architecture, and how it differs from other models.
- Provided usage examples for Pipeline and AutoModel.
- Added a quantization example for optimi... | {
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I am using Databricks notebook.
Databricks runtime: 13.3 LTS (includes Apache Spark 3.4.1, Scala 2.12)
### Who can help?
@Rocketknight1 @SunMarc @zach-huggingface
### Information
- [x] The official example scripts
- [x] My own modified scripts
### Tasks
- [x] An officially supported task in the ... | {
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Hi! Just sharing an interaction I found between accelerate's FSDP v2 code and `bf16_full_eval=True` in trainer.
1. Setting `bf16_full_eval=True` causes us to move the model to device over [here](https://github.com/huggingface/transformers/blob/b922b22ec2e458978dbd89038ad4b47885b34195/src/transformers/... | {
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