Transformers releases

10 stories

Transformers releasesToolsPatch release v5.22.1 Patch release v5.22.1 We just had to fix the documentation! ** [Fix] Remove WIP doc for Ml4 ( #50124 ) from @remi-or

10.30

Transformers releasesToolsv5.22.0: Mistral Large 4 (Le Chonk) New Models Mistral Large 4 (Le Chonk) Mistral Large 4 is Mistral's largest and most capable model to date: a 1 trillion-parameter natively multimodal Mixture-of-Experts model with 49 billion active…

10.29

Transformers releasesToolsPatch release v5.21.1 Patch release v5.21.1 ** Fix rope_scaling setter for configs that assign it during init ( #50080 ) We broke remote code loading in vllm, this fixes it sorry everyone!

10.29

Transformers releasesToolsRelease: v5.21.0 Release v5.21.0 New Model additions MiniCPM-OCR MiniCPM-OCR is a document-understanding model from OpenBMB's MiniCPM-V family.

10.26

Transformers releasesToolsPatch release v5.20.2 Patch release: v5.20.2 This patch notably solves an issue where some inputs could loose their original type inside prepare_inputs_for_generation in generate , leading to problems with multimodal…

10.19

Transformers releasesToolsRelease v5.20.1 Release v5.20.1 Special surprise including the new model Beam from Reflection AI 🥳 Beam is a token-efficient, frontier-scale model focused on coding and agentic use cases.

10.16

Transformers releasesToolsRelease v5.20.0 Release v5.20.0 New Model additions Muse Spark Open Muse Spark Open is a multimodal mixture-of-experts model from Meta that takes text, images, audio, and video as input and generates text.

10.15

Transformers releasesToolsRelease v5.19.0 Release v5.19.0 New Model additions EmbeddingGemma2 EmbeddingGemma 2 is a multimodal embedding model from Google built on the Gemma 4 architecture.

10.06

Transformers releasesToolsRelease 5.18.0 New Model additions Nemotron 3 Diarization Nemotron 3 Diarization is an open-weight streaming speaker diarization model designed to determine "who spoke when" in real-world audio.

09.30

Transformers releasesToolsRelease 5.17.0 Release v5.17.0 New Model additions HYV4 Hy4-Preview is a 780B-parameter mixture-of-experts language model that activates 49B parameters per token.

09.10

The name is the button.

An agent writes the code now, and a human thumb hovers over Accept all a hundred times a day. The honest question of this decade is what, exactly, you just accepted. So I read the diff.

Eight years as a backend engineer in Stockholm, back in Tokyo since 2023, and I still ship something small most nights, usually badly. My one rule: the only real review of a model is the thing you built with it. That is why there is no leaderboard on this site.

Around a hundred and forty sources come through — the labs' own posts, the papers, the tools, the runtimes and languages nobody is watching yet, the chip under the demo, and the newsletters people actually forward. What is moving gets counted so the week reads at a glance, and every few days I explain one mechanism in plain words.

A story here is a headline, a short excerpt, one image and the link to whoever wrote it. We never reproduce the post; the images belong to their authors. A post written in Japanese appears in Japanese, exactly as it was published, and the link goes to the original.

— Yuki Halvorsen, Tokyo