Transformers changelog

Release v5.16.1 This is a special release as we include GLM! (and a few small fixes) GLM-5.3-Flash GLM-5.3-Flash, the first natively multimodal model in the GLM-5 series. With 320B total parameters and just 18B active parameters, it outperf

Release v5.16.0 New Model additions Qwen4-Exp Qwen4-Exp builds on Qwen3.5's hybrid text and multimodal architecture with three key components: GatedResidual (GR), Qwen Sparse Attention (QSA), and Per-Layer Embedding (PLE). GR is a Qwen-deve

Patch release v5.15.1 This patch most notably solves a few issues with DFlash and MTP candidate generators, as well as an issue where images could sometimes not be processed on accelerator if using Lanczos filter. It contains the following

Release v5.15.0 New Model additions Meta Muse Glimmer Muse Glimmer, released today, is Meta’s new multimodal model, especially designed for agentic use cases. Distilled from Muse to 30B parameters, and released under the Apache 2.0 license,

Patch release v5.14.1 This patch solves a few issues which appeared when integrating Inkling model, most notably an issue affecting models using EncoderDecoderCache during assisted generation. It also fixes an issue that could appear during

Release v5.14.0 New Model additions Inkling (fresh from Thinking Machines): 975B total, 41B active Add Inkling model #47347 by @molbap @Cyrilvallez @eustlb and @zucchini-nlp Inkling is a general-purpose multimodal model that accepts text, i

Patch release v5.13.1 This patch is focused on enabling transformers for the latest release of vllm! Be more defensive with remap_legacy_layer_types for custom models (#47245) from @hmellor Fix custom code which doesn't know about the new l

Release v5.13.0 New Model additions KimiK 2.5, 2.6, and 2.7 This release includes the architecture for Kimi 2.5 which is used by 2.5-2.7: Kimi K2.5 is an open-source, native multimodal agentic model that advances practical capabilities in l

Patch release v5.12.1 Updated the lower bound for PEFT and a fix for auto tokenizer to properly resolve the mistral tokenizer (when mistral-common is installed). This is similar to v.5.10.3 minus the fixes that were already included in the

Patch release v5.10.4 Update: Note that on pypi 5.10.3 doesn't exist and this this saved under 5.10.4 (so essentially a minor version skipped). Sorry about that, that's on me. Just wanted to clarify to make this less confusing! A few fixes

Release v5.12.0 New Model additions MiniMax-M3-VL MiniMax-M3-VL is the vision-language member of the MiniMax-M3 family that pairs a CLIP-style vision tower with 3D rotary position embeddings with the MiniMax-M3 text backbone. It uses a mixe

Release v5.11.0 New Model additions DiffusionGemma DiffusionGemma is engineered to reduce the sequential bottlenecks of standard causal language models by employing an encoder-decoder architecture specifically optimized for inference speed.

Patch release v5.10.2 There was a big bug in the model conversion of models related to clip, this affected models like sam3 and others. Please make sure to update :pray: Fix conversion for clip models by @zucchini-nlp (#46406)

Release v5.10.1 v5.10.0 was yanked as we publish on a corrupted branch. Sorry everyone, this happens when we rush a release!!! New Model additions Gemma4 unified+ Gemma4 MTP Gemma 4 12B Unified is an encoder-free multimodal model with pretr

Release v5.9.0 New Model additions Cohere2Moe Command A+ is a Mixture-of-Experts (MoE) language model from Cohere that features a hybrid attention pattern combining sliding window and full attention layers. The model incorporates both share

Patch release v5.8.1 This release is mainly to fix the Deepseek V4 integration!!! [fix] Add fatal_error to ContinuousBatchingManager so the serving... by @qgallouedec, @remi-or Fix WeightConverter regex incorrectly matching shared_experts a

Release v5.8.0 New Model additions DeepSeek-V4 DeepSeek-V4 is the next-generation MoE (Mixture of Experts) language model from DeepSeek that introduces several architectural innovations over DeepSeek-V3. The architecture replaces Multi-head

Release v5.7.0 New Model additions Laguna Laguna is Poolside's mixture-of-experts language model family that extends standard SwiGLU MoE transformers with two key innovations. It features per-layer head counts allowing different decoder lay

Patch release v5.6.2 Qwen 3.5 and 3.6 MoE (text-only) were broken when using with FP8. It should now work again with this :saluting_face: Fix configuration reading and error handling for kernels (https://github.com/huggingface/transformers/

Patch release v5.6.1 Flash attention path was broken! Sorry everyone for this one 🤗 Fix AttributeError on s_aux=None in flash_attention_forward (https://github.com/huggingface/transformers/pull/45589) by @jamesbraza

Release v5.6.0 New Model additions OpenAI Privacy Filter OpenAI Privacy Filter is a bidirectional token-classification model for personally identifiable information (PII) detection and masking in text. It is intended for high-throughput dat

Patch release v5.5.4 This is mostly some fixes that are good to have asap, mostly for tokenizers; ** Fix Kimi-K2.5 tokenizer regression and _patch_mistral_regex Attribute… (#45305) by ArthurZucker For training: ** Fix #45305 + add regressio

Small patch release to fix device_map support for Gemma4! It contains the following commit: [gemma4] Fix device map auto (#45347) by @Cyrilvallez

Small patch dedicated to optimizing gemma4, fixing inference with use_cache=False due to k/v states sharing between layers, as well as conversion mappings for some models that would inconsistently serialize their weight names. It contains t

Patch release v5.5.1 This patch is very small and focuses on vLLM and Gemma4! ** Fix export for gemma4 and add Integration tests (#45285) by @Cyrilvallez ** Fix vllm cis (#45139) by @ArthurZucker

Release v5.5.0 New Model additions Gemma4 Gemma 4 is a multimodal model with pretrained and instruction-tuned variants, available in 1B, 13B, and 27B parameters. The architecture is mostly the same as the previous Gemma versions. The key di

New Model additions VidEoMT Video Encoder-only Mask Transformer (VidEoMT) is a lightweight encoder-only model for online video segmentation built on a plain Vision Transformer (ViT). It eliminates the need for dedicated tracking modules by

New Model additions EuroBERT EuroBERT is a multilingual encoder model based on a refreshed transformer architecture, akin to Llama but with bidirectional attention. It supports a mixture of European and widely spoken languages, with sequenc

New Model additions VoxtralRealtime VoxtralRealtime is a streaming speech-to-text model from Mistral AI, designed for real-time automatic speech recognition (ASR). Unlike the offline Voxtral model which processes complete audio files, Voxtr

New Model additions EXAONE-MoE K-EXAONE is a large-scale multilingual language model developed by LG AI Research. Built using a Mixture-of-Experts architecture, K-EXAONE features 236 billion total parameters, with 23 billion active during i

Transformers v5 release notes Highlights Significant API changes: dynamic weight loading, tokenization Backwards Incompatible Changes Bugfixes and improvements We have a migration guide that will be continuously updated available on the mai