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@dependabot dependabot bot commented on behalf of github Aug 18, 2025

Bumps transformers from 4.53.2 to 4.55.2.

Release notes

Sourced from transformers's releases.

Patch release 4.55.2: for FA2 users!

Patch release 4.55.2!

only affects FA2 generations!

😢 Well sorry everyone, sometimes shit can happen... 4.55.1 was broken because of 🥁 git merge conflict. I cherry-picked huggingface/transformers#40002 without having huggingface/transformers#40029 , thus from ..modeling_flash_attention_utils import prepare_fa_kwargs_from_position_ids is missing, and since this is a slow test, nothing caught it.

Will work to remediate and write the post-mortem when yanking the release.

Patch release 4.55.1:

Mostly focused around stabalizing the Mxfp4 for GPTOSS model!

Bug Fixes & Improvements

CI & Build

v4.55.0: New openai GPT OSS model!

Welcome GPT OSS, the new open-source model family from OpenAI!

For more detailed information about this model, we recommend reading the following blogpost: https://huggingface.co/blog/welcome-openai-gpt-oss

GPT OSS is a hugely anticipated open-weights release by OpenAI, designed for powerful reasoning, agentic tasks, and versatile developer use cases. It comprises two models: a big one with 117B parameters (gpt-oss-120b), and a smaller one with 21B parameters (gpt-oss-20b). Both are mixture-of-experts (MoEs) and use a 4-bit quantization scheme (MXFP4), enabling fast inference (thanks to fewer active parameters, see details below) while keeping resource usage low. The large model fits on a single H100 GPU, while the small one runs within 16GB of memory and is perfect for consumer hardware and on-device applications.

Overview of Capabilities and Architecture

  • 21B and 117B total parameters, with 3.6B and 5.1B active parameters, respectively.
  • 4-bit quantization scheme using mxfp4 format. Only applied on the MoE weights. As stated, the 120B fits in a single 80 GB GPU and the 20B fits in a single 16GB GPU.
  • Reasoning, text-only models; with chain-of-thought and adjustable reasoning effort levels.
  • Instruction following and tool use support.
  • Inference implementations using transformers, vLLM, llama.cpp, and ollama.
  • Responses API is recommended for inference.
  • License: Apache 2.0, with a small complementary use policy.

... (truncated)

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Bumps [transformers](https://github.com/huggingface/transformers) from 4.53.2 to 4.55.2.
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.53.2...v4.55.2)

---
updated-dependencies:
- dependency-name: transformers
  dependency-version: 4.55.2
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Aug 18, 2025
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Coverage Status

coverage: 52.835% (-0.03%) from 52.86%
when pulling e471572 on dependabot/pip/transformers-4.55.2
into a38ba8d on dev.

@bact bact merged commit 20d68a7 into dev Aug 19, 2025
42 of 44 checks passed
@bact bact deleted the dependabot/pip/transformers-4.55.2 branch August 19, 2025 05:06
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