transformers Patch release v5.20.2
11d
- Published
- Collected
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 models. It also fixes some other issues listed on the below commits. It contains the following commits: - Fix inputs dict casting in generate (49731) by @Cyrilvallez - Fix zero expert gradients in bfloat16…
overfeed.news indexes and links. We publish a short excerpt — the full article stays at GitHub Releases (AI inference).
More from GitHub Releases (AI inference)
Log in to follow this sourcetransformers Patch release v5.22.1
Patch release v5.22.1 We just had to fix the documentation! [Fix] Remove WIP doc for Ml4 (https://github.com/huggingface/transformers/pull/50124) from @remi-or
transformers v5.22.0: 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 parameters per token (52 billion including embeddings and output layers), trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs in Mistral's own datacenters in Europe. Mistral Large 4 unifies instruction…
transformers Patch 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!
ollama v0.40.13
LFM3 on Linux and Windows Liquid AI's [LFM3](https://ollama.com/library/lfm3) models, including text-to-speech in [lfm3-audio](https://ollama.com/library/lfm3-audio) and [lfm3-omni](https://ollama.com/library/lfm3-omni), now run on Linux and Windows as well as Apple silicon. Full Changelog: https://github.com/ollama/ollama/compare/v0.40.12...v0.40.13