ollama launch claude no longer shows a warning about Claude connectors by @hoyyeva in https://github.com/ollama/ollama/pull/18878 ollama launch codex no longer warns about service tiers by @hoyyeva in https://github.com/ollama/ollama/pull/1
Catalog / AI tooling
Ollama changelog
Ollama is at 0.40.3, published 11 Oct 2026, today.
Local runner for open weight language models, with a small HTTP API.
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Read on 28 of the 30 days on record, last today. Collection status
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0.x74 releases
Model upgrades Models downloaded with earlier versions of Ollama are upgraded in the background the first time you run them, for better performance and compatibility when running on llama.cpp. To make downgrading safe, Ollama keeps the orig
server: proxy cloud usage and balance APIs by @drifkin in https://github.com/ollama/ollama/pull/18829 llama: fix clef head reads past 2GiB on windows by @Gigrise in https://github.com/ollama/ollama/pull/18777 cmd: remove account step from C
Clef decision models Ollama now supports Clef and Clef Flash, Cloudflare's new open-source decision models, through /v1/systemone. Clef (27B) and Clef Flash (9B) are multimodal: requests can now include images alongside the text state, shar
Decision models Ollama now supports decision models through /v1/systemone, based on TypeSafe’s Jev API. Decision models return choices, probabilities, and scores instead of text. Use them for tasks such as ticket triage, model routing, and
Models run on MLX on Apple Silicon by default In this release, on Apple Silicon devices, model architectures supported by the MLX runtime will automatically run on MLX. ollama pull qwen3.8 ollama run qwen3.8 Additional models include gemma4
Structured outputs on thinking models now apply in a single pass, making them faster and more reliable. Fixed intermittent "model not found" errors with a large local library Fixed the macOS app becoming unresponsive when checking if ChatGP
GET /api/show now advertises each model's thinking controls and default: Available in the CLI with: ollama show gemma4 thinking levels false, true default true Available in the API with: curl http://localhost:11434/api/show -d '{"model": "g
Added first-run setup when running ollama, with options to sign in or continue locally. Setup completion is shared with the desktop app on macOS and Windows. Added ollama://apps to open the desktop app’s Apps page directly on macOS and Wind
MLX safetensors ollama create no longer experimental. GGUF model creation now requires using llama.cpp tooling for safetensor conversion and quantization. Improved MLX memory handling on Apple Silicon Runaway repeat token detection now requ
Use Ollama models in ChatGPT Desktop Ollama models can now be used directly in ChatGPT Desktop, so you can keep your existing workflow while running open models. Setup is available from the Ollama app on MacOS. This release also improves st
gemma4 now supports images and audio on MLX engine Report cached prompt tokens Honor GGUF model defined default parameters MLX, MLX-C, llama.cpp update
Ollama's app now follows the system appearance again, restoring dark mode support Fixed the macOS app to properly hand off to an already-running instance instead of starting a second one The Claude Desktop proxy no longer interrupts in-flig
MLX: Qwen3.8 Flash Next support cmake: make external compat patches idempotent MLX and llama.cpp update mlxrunner: add structured output support mlxrunner: avoid Metal GPU timeouts when loading models from slow storage
Claude Desktop Developers can now easily configure Claude Desktop to seamlessly work with Ollama as a third-party gateway provider. Improved caching Fixed a hang where agent clients that cancel long prefills Prefill restore points are now t
New desktop onboarding flow on first launch Caches resolved model metadata between requests, cutting time-to-first-token by roughly half (TTFT dropped from ~995 ms to ~524 ms in benchmarks) Fixes a bug where chat and generate could wedge af
llm: transcode WebP images for llama-server renderers/qwen: tolerate non-leading system messages
qwen3.8: support developer instructions
Qwen 3.8 27B This release adds the support of Qwen 3.8 27B. Qwen3.8 delivers substantial gains across coding, professional work, research, and long-horizon agentic tasks. ollama run qwen3.8:27b For Apple Silicon devices, Ollama has in parti
ollama launch dsh now supports DeepSeek Harness, DeepSeek's open-source agent harness ollama launch muse now supports Muse Code, Meta's agentic coding CLI The OpenAI-compatible Responses API now supports web search Muse Glimmer template upd
NVIDIA Nemotron 3.5 Lightning NVIDIA Nemotron 3.5 Lightning is an open 30B mixture-of-experts (MoE) model with 3B active parameters built for that execution layer of always-on agents. It is designed for harnesses like OpenClaw and Hermes Ag
Muse Glimmer Muse Glimmer is now available on all platforms. Muse Glimmer can power coding agent applications such as Claude Code, Codex, Pi and more, as well as long-running personal assistants such as OpenClaw and Hermes. Ollama's MLX eng
Muse Glimmer Note: Muse Glimmer is currently available via initial support via Ollama's MLX engine on Apple Silicon. Additional support and optimizations for Apple Silicon, NVIDIA, AMD, and other platforms will be available in the coming da
Qwen3.5 is faster on Apple GPUs: the MLX engine now uses the model's MTP head for speculative decoding automatically /v1/chat/completions streaming now matches OpenAI's wire format: role only on the first chunk, finish_reason on its own chu
Fixed an MLX Metal bug that could reduce output quality for NVFP4 models, particularly Laguna.
Support Laguna on Apple GPUs via the MLX engine Quantize draft-model output heads at the requested type when creating speculative-decoding drafts. Fixed Qwen3 MoE decoding for differently-quantized experts, plus faster packed gate/up projec
Fixed model downloads that stall before sending data. Improved integrations: restored Claude Code Channels, fixed Anthropic thinking streams, and made Hermes Desktop respect --force-build. Expanded GPU support with CUDA on Windows ARM64, B2
Improved Gemma 4 tool calling and multi-turn reasoning, including more reliable tool-response continuations Fixed a recurrent MLX model cache leak that could increase memory use across requests, and improved cache snapshot performance MLX t
New interactive agent experience: running ollama now launches an agent to help you code and delegate work ❯ ollama Ollama 0.32.0 ▸ Chat, Code, & Work (glm-5.2:cloud) Chat with models, code, search the web, and delegate real work Renamed the
Enabled flash attention on older NVIDIA GPUs (compute capability 6.x) iGPU can now offload vision models with padding to fit available memory Fixed structured output for thinking models when thinking is disabled Hardened GGUF model creation
Faster Gemma 4 on Apple Silicon Gemma 4 is now significantly faster in Ollama on Apple Silicon, generating tokens nearly 90% faster on average across a coding-agent benchmark by leveraging multi-token prediction (MTP). Ollama auto-tunes how
launch: add thinking capability detection to opencode by @hoyyeva in https://github.com/ollama/ollama/pull/15434 launch: auto-install Claude Code by @hoyyeva in https://github.com/ollama/ollama/pull/16802 launch: auto-install opencode when
Command A and North family models now run on Apple Silicon with the MLX engine Updated the underlying llama.cpp engine to build 9672 Fixed build artifacts for MLX
Support for Cohere2Moe architecture Fixed LFM2 parser/render for cases where thinking was not emitted Fixed issue where ollama launch claude and other coding agent or assistant use cases would only output one token Ollama will now return an
Fixed ollama launch selecting the wrong provider in some cases Improved prompt caching by decoupling it from context shift for better KV cache reuse More stable MLX inference with hardened linear and embedding layers MLX runner now creates
Ollama Launch now supports Hermes Desktop, a native desktop interface for the Hermes agent. Run it alongside your Hermes agent to get a visual interface for managing conversations, integrations, and messaging apps. ollama launch hermes-desk
New models Gemma 4 QAT weights: the Gemma 4 family is now optimized with Quantization-Aware Training (QAT) to dramatically reduce memory requirements and maximize on-device performance. Look for the tags ending in -qat: gemma4:e2b-it-qat ge
Fixed the gemma4:12b floating point exception crash on x86, CUDA, Linux, and Windows systems. ollama launch hermes-desktop now launches Hermes Desktop and can skip rebuilding when a packaged desktop app is already installed. ollama launch h
New models Nemotron-3-Ultra: NVIDIA Nemotron 3 Ultra is built for high-throughput reasoning and long-running agent workflows. What's Changed Fixed multimodal models not using GPU on the llama.cpp backend can now use Metal GPU offload on App
New models Gemma 4 12B: high-performance multimodal intelligence that runs directly on laptops, combining efficiency with advanced reasoning. What's Changed Added support for gemma4:12b.
ollama launch now supports Qwen Code and can guide users through installing the Cline CLI when it is missing. ollama launch codex now uses an isolated launch configuration, avoiding conflicts with a user's existing Codex settings. Added lla
Codex App Ollama 0.24 includes support for the Codex App, OpenAI's desktop experience for working on Codex threads in parallel with built-in worktree support and git functionality. ollama launch codex-app Built-in browser Codex can load loc
Ollama 0.30 is now available, with improved compatibility and performance using llama.cpp. This augments the MLX engine on Apple Silicon, bringing support to a wider range of hardware. This release brings support for a wider range of models
ollama launch opencode now supports vision models with image inputs Fixed formatting of Claude tool results when using local image paths
mlx: refined model push behavior by @dhiltgen in https://github.com/ollama/ollama/pull/15431 test: integration test hardening by @dhiltgen in https://github.com/ollama/ollama/pull/13532 app: harden update flows by @dhiltgen in https://githu
ollama launch no longer includes Claude Desktop due to the third-party integration being limited to Anthropic models. Use ollama launch claude-desktop --restore to restore Claude Desktop to its normal state. /api/show responses are now cach
Gemma 4 MTP (Multi-token Processing) for the MLX runner Gemma 4 MTP speculative decoding is now supported on Macs. This can give over a 2x speed increase for the Gemma 4 31B model on coding tasks. ollama run gemma4:31b-coding-mtp-bf16 What'
Claude Desktop Claude Desktop is now supported with Ollama Launch. Claude Cowork and Claude Code are supported within the Claude Desktop App. ollama launch claude-desktop Claude Cowork Claude Code Claude Code on the terminal can still be ac
Updated the Gemma 4 renderer for thinking and tool calling improvements Model recommendations are now updated without updating Ollama Aligned the desktop app's launch page with ollama launch integrations Fixed the Poolside integration title
New models NVIDIA's Nemotron 3 Omni Poolside's first open-weight coding model - Laguna XS.2
api: accept "max" as a think value by @ParthSareen in https://github.com/ollama/ollama/pull/15787 openai: map responses reasoning effort to think by @ParthSareen in https://github.com/ollama/ollama/pull/15789
Improved reliability of the OpenClaw onboarding flow in ollama launch Recommended models in ollama launch now appear in a fixed, canonical order OpenClaw integration now bundles Ollama's web search plugin in OpenClaw
Kimi CLI You can now install and run the Kimi CLI through Ollama. ollama launch kimi --model kimi-k2.6:cloud Kimi CLI with Kimi K2.6 excels at long horizon agentic execution tasks through a multi-agent system. MLX runner adds logprobs suppo
Hermes Agent ollama launch hermes Hermes learns with you, automatically creating skills to better serve your workflows. Great for research and engineering tasks. What's Changed Gemma 4 on MLX. Added support for running Gemma 4 via MLX on Ap
Fix quality of gemma:e2b and gemma:e4b when thinking is disabled ROCm: Update to ROCm 7.2.1 on Linux by @saman-amd in https://github.com/ollama/ollama/pull/15483
Gemma 4 tool calling ability is improved and updated to use Google's latest post-launch fixes Parallel tool calling improved for streaming responses Hermes agent Ollama integration guide is now available Ollama app is updated to fix image a
OpenClaw channel setup with ollama launch What's Changed OpenClaw channel setup: connect WhatsApp, Telegram, Discord, and other messaging channels through ollama launch openclaw Enable flash attention for Gemma 4 on compatible GPUs ollama l
mlx: Improve M5 performance with NAX gemma4: enable flash attention
Gemma 4 Tool Calling improvements Added latest models to Ollama App OpenClaw fixes for launching TUI
app: default app home view to new chat instead of launch by @jmorganca in https://github.com/ollama/ollama/pull/15312
Gemma 4 Effective 2B (E2B) ollama run gemma4:e2b Effective 4B (E4B) ollama run gemma4:e4b 26B (Mixture of Experts model with 4B active parameters) ollama run gemma4:26b 31B (Dense) ollama run gemma4:31b What's Changed docs: update pi docs b
Ollama is now powered by MLX on Apple Silicon in preview Ollama on Apple silicon is now built on top of Apple’s machine learning framework, MLX, to take advantage of its unified memory architecture. https://github.com/user-attachments/asset
ggml: force flash attention off for grok by @rick-github in https://github.com/ollama/ollama/pull/15050 mlx: fix KV cache snapshot memory leak by @jessegross in https://github.com/ollama/ollama/pull/15065 mlxrunner: schedule periodic snapsh
Visual Studio Code Microsoft Visual Studio Code now directly integrates with Ollama via GitHub Copilot. If you have Ollama installed, any local or cloud model from Ollama can be selected for use within visual studio code. What's Changed GLM
Add extra check to ensure npm and git are installed before installing OpenClaw Claude Code will now be faster when run locally, due to preventing cache breakages Fix to correctly support ollama launch openclaw --model <model> Register Ollam
Web Search and Fetch in OpenClaw Ollama now ships with web search and web fetch plugin for OpenClaw. This allows Ollama's models (local or cloud) to search the web for the latest content and news. This also allows OpenClaw with Ollama to be
Ollama 0.18 includes improved performance for OpenClaw and Ollama’s cloud models, including the new Nemotron-3-Super model by NVIDIA designed for high-performance agentic reasoning tasks. Improved OpenClaw performance with Kimi-K2.5 This re
parsers: repair unclosed arg_value tags in GLM tool calls by @BruceMacD in https://github.com/ollama/ollama/pull/14656 Reapply "don't require pulling stubs for cloud models" again by @jmorganca in https://github.com/ollama/ollama/pull/14608
Allow thinking levels such as "medium" to correctly interpreted in Ollama's API for all thinking models Add context length to support compaction when using ollama launch
Fixed issue where GLM-OCR would not work due to incorrect prompt rendering Fixed tool calling parsing and rendering for Qwen 3.5 models
New models Qwen3.5: the small Qwen 3.5 model series is now available in 0.8B, 2B, 4B and 9B parameter sizes. What's Changed Fixed crash in Qwen 3.5 models when split over GPU & CPU Fixed issue where Qwen 3.5 models would repeat themselves d
New models Qwen 3.5: a family of open-source multimodal models that delivers exceptional utility and performance. LFM 2: LFM2 is a family of hybrid models designed for on-device deployment. LFM2-24B-A2B is the largest model in the family, s
Fixed issue where tool calls in the Qwen 3 and Qwen 3.5 model families would not be parsed correctly if emitted during thinking
Fixed issue where Ollama's app on Windows would crash when a new update has been downloaded