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Ripple Preview [Ripple Preview](https://ollama.com/library/ripple-preview) from Ricursive Intelligence is a 65B dense model built for agentic coding. sh ollama run ripple-preview What's Changed - Qwen3.8 Flash Next uses about 27 GiB less memory on Apple silicon - ollama launch claude always routes Claude Code to the selected model - ollama launch explains when a cloud model has been retired - /v1/responses…
Patch release v5.22.2 Some in between patch for security and distributed fixes. See the included commits :hugs: - [Distributed] Set device_id only for NCCL (50281) by @michaelbenayoun and @3outeille - Harden our Jinja sandboxing (50431) by @Rocketknight1 Full Changelog: https://github.com/huggingface/transformers/compare/v5.22.1...v5.22.2
MiMo V2.6 Xiaomi MiMo's [mimo-v2.6](https://ollama.com/library/mimo-v2.6), a 9B model built for code and agent workflows, is now supported in Ollama. sh ollama run mimo-v2.6 AutoTrust decision models [AutoTrust](https://ollama.com/library/autotrust-jev) decision models read text and return choices, yes or no probabilities, and ratings for the questions you supply. The family includes 9b, 35b, and 27b-vl sizes — the 35b and 27b-vl sizes can…
What's Changed ollama launch claude now applies the model's output token limit for Claude Code, so cloud models no longer run into the 128k default cap Cloud web search responses on /api/chat are now decoded correctly, including compressed responses OpenAI-compatible endpoints no longer override a model's packaged sampler defaults — clients that send no temperature/top_p get the model's own values…
v0.33.0 Highlights This release features 927 commits from 389 contributors (122 new)! New models: Reflection Beam-1.0 (501B MoE, 23B active) with its DFlash2 drafter (62074), Yandex AliceAI-Foundation-80B-A3B (57963), Recursive Flint (40B MoE, 2.5B active) (62938), Muse Spark Open (61879), Step-5 Preview (61727, 63147), NVIDIA Alpamayo 2 Super (62957), Nemotron-Labs Dory1.0-4B (60149), Nemotron Parse 3.5 (61651), MiniCPM-OCR 1.0 (63095), Domyn Edge…
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
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…
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!
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
Liquid AI LFM3 [LFM3](https://ollama.com/library/lfm3) is Liquid AI's new family of small models built for local agents, tool calling, and structured output, on Liquid's new tri-hybrid architecture. The family includes: - [lfm3](https://ollama.com/library/lfm3): a 1.7B text model with a 256K-token context window - [lfm3-vl](https://ollama.com/library/lfm3-vl): adds image understanding - [lfm3-audio](https://ollama.com/library/lfm3-audio): speech recognition, translation, and text-to-speech in 18 languages - [lfm3-omni](https://ollama.com/library/lfm3-omni): text, images, and…
Release v5.21.0 New Model additions MiniCPM-OCR MiniCPM-OCR is a document-understanding model from OpenBMB's MiniCPM-V family. It keeps the MiniCPM-V 4.6 architecture, which pairs a SigLIP vision encoder and a window-attention merger with a Qwen3.5 language model. It is specialized for reading text-dense images such as scanned pages, screenshots, receipts and tables. Links: [Documentation](https://huggingface.co/docs/transformers/main/en/model_doc/minicpm_ocr) | [Paper](https://huggingface.co/papers/2509.18154) Feat test (49920) by @guarin…
Speech Ollama can now generate [speech](https://docs.ollama.com/capabilities/speech) on macOS. ollama run plays text or a chat model's reply aloud as the audio is generated, and apps can stream audio through the OpenAI-compatible /v1/audio/speech endpoint. sh ollama run phonon "Hello from Ollama." d3 decision models [d3](https://ollama.com/library/d3) brings vLLM Semantic Router's decision models to Ollama. Give a model text, structured state, or an…
NVIDIA Nemotron 3.5 Bolt E4B [Nemotron 3.5 Bolt E4B](https://ollama.com/library/nemotron-3.5-bolt) is NVIDIA’s smaller, Gemma 4-based vision-language model for fast local conversations, image understanding, and tool use. It supports a 128K-token context window. The model includes a DFlash draft for speculative decoding. ollama run nemotron-3.5-bolt:e4b Full Changelog: https://github.com/ollama/ollama/compare/v0.40.9...v0.40.10
Flint on Linux and Windows [Flint](https://ollama.com/library/flint) now runs on Linux and Windows as well as macOS. Other improvements - Streaming OpenAI Responses and Anthropic Messages requests now report generation failures instead of ending silently after partial output. - ollama launch now passes cloud models' context lengths and capabilities to coding tools, fixing incorrect context and compaction settings. - Anthropic-compatible web…
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…
v0.32.0 Highlights This release features 814 commits from 363 contributors (121 new)! Structured decisions and generic parsers: the new POST /v1/systemone endpoint answers choice, noul and score questions over a structured state (59299), is served by default (60677, 60696), and also runs on Cloudflare/clef-omni (61064), LiquidAI/d1-3B (60676) and DiffusionGemma (60466). The new hf tool and reasoning parser (--tool-call-parser hf, --reasoning-parser…
Release v5.20.1 Special surprise including the new model Beam from Reflection AI :partying_face: Beam is a token-efficient, frontier-scale model focused on coding and agentic use cases. It is built for teams that want to run a powerful model on their own hardware, infrastructure, or cloud, and customize it to their specific needs. Links: [Documentation](https://huggingface.co/docs/transformers/main/en/model_doc/beam) Fix small bu
v0.31.0 Highlights This release features 717 commits from 307 contributors (96 new)! DeepSeek-V4.1-Flash performance: FlashMLA mega attention with the V4.1 NVFP4 compressed KV cache is now the SM100 default (56935); DeepGEMM sparse MQA logits for the indexer (56254) and Mega-Gate fusing the gate GEMM with expert selection (56266); decoder boundaries fuse the TP all-reduce, mHC input preparation (57643) and the…
v0.30.0 Highlights This release features 762 commits from 315 contributors (104 new)! New models: DeepSeek-V4.1-Flash (56214, 56228, 56208) with the whole KV stored in MXFP8 through the FlashMLA V4.1 record on SM100 (56893), DeepGEMM Mega-mHC (56962), and async Engram prefetch with Engram DP sharding (56512); DeepSeek-V4-Flash-Vision-Exp (54566), also on ROCm (55107) and with LoRA (55897); GLM-5.3-Flash (53906) with EPLB (55119)…
v0.29.0 Highlights This release features 594 commits from 277 contributors (91 new)! Model Runner V2 is now the default for all models (53183), completing the rollout that began with pooling models (48290). MRV2 also gained CUDA graph memory profiling for KV cache auto-sizing (53306), batch-sharded sampling that cuts per-step logits memory by 1/TP (50465), prompt embeds (42963), extract_hidden_states speculation (49811)…