What’s Changed

• 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 text model loading now respects OLLAMA_LOAD_TIMEOUT
• Agent web search and fetch now tell users to run ollama signin when authentication is required
• The interactive agent now receives the current working directory for better project context
• Fixed ollama launch so choosing Pick another model for a deprecated model passed with --model opens the model picker
• Updated VS Code setup documentation for the official Ollama extension

Full Changelog: https://github.com/ollama/ollama/compare/v0.32.0…v0.32.1-rc0

What’s Changed

• 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 Codex App integration to ChatGPT: use ollama launch chatgpt (and –restore to return to your usual ChatGPT profile)
• Simplified integration selection: the ollama launch menu now only offers the most popular integrations (other integrations can be accessed through ollama launch
• Warns before launching older agent models: CodeLlama, Qwen2.5(-coder), Llama 3.x, Mistral, StarCoder, and the base DeepSeek-R1 tags now prompt a deprecation warning before ollama launch continues

Full Changelog: https://github.com/ollama/ollama/compare/v0.31.2…v0.32.0

What’s Changed

• 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
• ollama launch for Claude Code now disables telemetry by default
• Fixed loading models on paths with non-UTF-8 characters
• Updated the MLX and llama.cpp engines

New Contributors

• @kevinpark1217 made their first contribution in https://github.com/ollama/ollama/pull/16949

Full Changelog: https://github.com/ollama/ollama/compare/v0.31.1…v0.31.2

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 many tokens to draft as it runs, so the speedup is on by default, requires no configuration, and does not change the model’s output.

What’s Changed

• Tightened Gemma 4 MoE model loading in the MLX engine
• Updated the MLX engine to the latest version, including a new small-batch matmul kernel
• Updated the underlying llama.cpp engine to build 9840
• Improved Gemma 4 multi-token prediction (MTP) performance

Full Changelog: https://github.com/ollama/ollama/compare/v0.30.12…v0.31.1

What’s Changed

• mlx: tighten up gemma4 moe loading code by @pdevine in https://github.com/ollama/ollama/pull/16964
• mlx: bump to latest version to include new small batch matmul kernel @jessegross @dhiltgen
• llama.cpp: bump to b9840 @dhiltgen
• improved gemma4 MTP performance @jessegross

Full Changelog: https://github.com/ollama/ollama/compare/v0.31.0…v0.31.1

What’s Changed

• 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 missing by @hoyyeva in https://github.com/ollama/ollama/pull/16806
• discover: fix inverted iGPU/dGPU Vulkan classification on Windows hybrid graphics by @Sahil170595 in https://github.com/ollama/ollama/pull/16669
• mlxrunner: unify and tune speculative decoding by @jessegross in https://github.com/ollama/ollama/pull/16791
• launch/codex: detect model drift when Codex App UI switches by @BruceMacD in https://github.com/ollama/ollama/pull/16864
• llama: add sm_86 architecture to cuda_v13_windows preset by @anishesg in https://github.com/ollama/ollama/pull/16834
• llm: size mmproj offload by projector memory by @dhiltgen in https://github.com/ollama/ollama/pull/16866
• docs: document max think level by @ParthSareen in https://github.com/ollama/ollama/pull/16877
• llm: preserve generation headroom for shifted prompts by @ParthSareen in https://github.com/ollama/ollama/pull/16856
• llama: default qwen2.5vl window attention metadata by @dhiltgen in https://github.com/ollama/ollama/pull/16868
• llm: use host Vulkan loader on Windows by @dhiltgen in https://github.com/ollama/ollama/pull/16869
• mlx: update and fix CUDA JIT packaging by @dhiltgen in https://github.com/ollama/ollama/pull/16871
• llm: fix ollama ps double-counting mmap’d weights on partial offload by @discobot in https://github.com/ollama/ollama/pull/16709
• docs: redesign docs landing and integrations overview by @hoyyeva in https://github.com/ollama/ollama/pull/16807
• server: align generate with native chat templates by @dhiltgen in https://github.com/ollama/ollama/pull/16878
• jetson: add CC 87 for CUDA v13 by @dhiltgen in https://github.com/ollama/ollama/pull/16628
• llama.cpp version update by @dhiltgen in https://github.com/ollama/ollama/pull/16548

New Contributors

• @Sahil170595 made their first contribution in https://github.com/ollama/ollama/pull/16669
• @anishesg made their first contribution in https://github.com/ollama/ollama/pull/16834
• @discobot made their first contribution in https://github.com/ollama/ollama/pull/16709

Full Changelog: https://github.com/ollama/ollama/compare/v0.30.10…v0.30.11-rc0

What’s Changed

• 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

Full Changelog: https://github.com/ollama/ollama/compare/v0.30.9…v0.30.10

What’s Changed

• 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 error if a single message is larger than the current context window

Full Changelog: https://github.com/ollama/ollama/compare/v0.30.8…v0.30.9-rc1

What’s Changed

• 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 snapshots during prompt processing and speculative decoding for improved reliability
• Improved recurrent model support with per-boundary states from the gated-delta kernels

Full Changelog: https://github.com/ollama/ollama/compare/v0.30.7…v0.30.8

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-desktop

What’s Changed

• Hermes Desktop is now available via ollama launch hermes-desktop with native Windows configuration path support
• OpenAI-compatible API models list now aligns with available model tags
• Added documentation describing the llama.cpp update process
• Updated Zod schema examples to use the native toJSONSchema helper

Full Changelog: https://github.com/ollama/ollama/compare/v0.30.6…v0.30.7

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
  • gemma4:e4b-it-qat
  • gemma4:12b-it-qat
  • gemma4:26b-a4b-it-qat
  • gemma4:31b-it-qat

What’s Changed

• ollama launch omp now integrates with Oh My Pi, an AI coding agent with IDE integration
• MLX embedding layers now use NVFP4 global scale for improved quantization on Apple Silicon

Full Changelog: https://github.com/ollama/ollama/compare/v0.30.5…v0.30.6

What’s Changed

• 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 hermes now supports native Windows installs through the Hermes PowerShell installer.
• Added Cline CLI integration docs.

Full Changelog: https://github.com/ollama/ollama/compare/v0.30.4…v0.30.5

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 Apple Silicon, improving multimodal performance on supported Macs.
• ollama create --experimental now respects REQUIRES in Modelfiles for MLX-based models.
• ollama launch codex now cleans up old conflicting Codex profile config before launching.
• ollama launch pi now migrates users from the legacy Pi package to the official package and preserves the correct npm install prefix.
• Pi web search setup now updates only when a newer package is available.
• Windows cleanup now terminates the llama.cpp backend more reliably.
• Updated the llama.cpp backend.

Known Issues

• gemma4:12b crashes with floating point exception

Full Changelog: https://github.com/ollama/ollama/compare/v0.30.3…v0.30.4

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.

Full Changelog: https://github.com/ollama/ollama/compare/v0.30.2…v0.30.3

What’s Changed

• 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 llama.cpp backend compatibility support for Poolside’s Laguna architecture.
• The llama.cpp backend now includes cached prompt tokens in token accounting, improving usage reporting for requests with prompt cache hits.
• The llama.cpp backend now ignores SSE ping comments, improving streaming compatibility with newer backend behavior.
• The llama.cpp backend now detects load stalls from server output so failed model loads surface more reliably instead of hanging.
• Radeon 8060S integrated GPUs are now allowed by default.
• Template details are included in logs to make troubleshooting model prompts easier.
• Added Hermes Desktop configuration docs.
• Fixed a build issue in the Laguna compatibility patch, restoring Laguna support in release builds.

Full Changelog: https://github.com/ollama/ollama/compare/v0.30.0…v0.30.2

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 local servers and sites in its built-in browser, enabling you to directly annotate on the page to request changes.

Review mode

Review code inside the app, leave comments, and iterate without leaving your workspace.

Choosing a model

For difficult coding and agentic tasks:

• kimi-k2.6 (with vision support)
• glm-5.1

For local use without an Ollama Cloud subscription:

• nemotron-3-super
• gemma4:31b
• qwen3.6

Restore anytime

To restore the previous configuration of Codex App, run:

ollama launch codex-app --restore

What’s Changed

• Reworked the MLX sampler for improved generation quality on Apple Silicon

Full Changelog: https://github.com/ollama/ollama/compare/v0.23.0…v0.24.0

What’s Changed

• ollama launch opencode now supports vision models with image inputs
• Fixed formatting of Claude tool results when using local image paths

Full Changelog: https://github.com/ollama/ollama/compare/v0.23.3…v0.23.4

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, including GGUF-based models from Hugging Face and your own fine-tuned models along with faster performance on NVIDIA hardware.

Known issues:

• laguna-xs.2 is not yet supported on Windows/Linux.
• llama3.2-vision is not yet supported
• nomic-embed-text now converts inputs to lowercase per the model card where prior Ollama versions incorrectly preserved mixed case

What’s Changed

• 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://github.com/ollama/ollama/pull/16100
• mlx: update the imagegen runner for mlx thread affinity by @pdevine in https://github.com/ollama/ollama/pull/16096
• mlx: avoid status timeout during inference by @dhiltgen in https://github.com/ollama/ollama/pull/16086
• mlx: fix macOS 26 target leakage in v3 metallib by @dhiltgen in https://github.com/ollama/ollama/pull/16053

Full Changelog: https://github.com/ollama/ollama/compare/v0.23.2…v0.23.3

What’s Changed

• 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 cached, improving median latency by ~6.7x which will increase load speed for integrations like VS Code.
• Improved backup workflow when managing launch integrations
• Cleaner image generation layout in the MLX runner

Full Changelog: https://github.com/ollama/ollama/compare/v0.23.1…v0.23.2

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’s Changed

• Update MLX and MLX-C with threading fixes by @dhiltgen in https://github.com/ollama/ollama/pull/15845
• go: bump to 1.26 by @ParthSareen in https://github.com/ollama/ollama/pull/15904
• Add Gemma 4 MTP speculative decoding by @pdevine in https://github.com/ollama/ollama/pull/15980

Full Changelog: https://github.com/ollama/ollama/compare/v0.23.0…v0.23.1

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 accessed through the CLI with:

ollama launch claude

Not supported yet

• Web Search (coming soon)
• Extensions

What’s Changed

• Launch Claude Desktop with ollama launch claude-desktop
• The Ollama app now surfaces featured models from server-driven recommendations
• Fixed OpenClaw gateway timeout on Windows by enforcing IPv4 loopback (thanks @UniquePratham)
• Hardened Metal initialization to gracefully handle ggml kernel compilation failures

New Contributors

• @UniquePratham made their first contribution in https://github.com/ollama/ollama/pull/15726

Full Changelog: https://github.com/ollama/ollama/compare/v0.22.1…v0.23.0

What’s Changed

• 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 in ollama launch

Full Changelog: https://github.com/ollama/ollama/compare/v0.22.0…v0.22.1

New models

• NVIDIA’s Nemotron 3 Omni
• Poolside’s first open-weight coding model - Laguna XS.2

Full Changelog: https://github.com/ollama/ollama/compare/v0.21.2…v0.22.0

What’s Changed

• 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

Full Changelog: https://github.com/ollama/ollama/compare/v0.21.2…v0.21.3-rc0

What’s Changed

• 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

New Contributors

• @madflow made their first contribution in https://github.com/ollama/ollama/pull/15733

Full Changelog: https://github.com/ollama/ollama/compare/v0.21.1…v0.21.2

What’s Changed

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 support for compatible models
• Faster MLX sampling with fused top-P and top-K in a single sort pass, plus repeat penalties applied in the sampler
• Improved MLX prompt tokenization by moving tokenization into request handler goroutines
• Better MLX thread safety for array management
• GLM4 MoE Lite performance improvement with a fused sigmoid router head
• Fixed model picker showing stale model after switching chats in the macOS app
• Fixed structured outputs for Gemma 4 when think=false

Full Changelog: https://github.com/ollama/ollama/compare/v0.21.0…v0.21.1

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 Apple Silicon, including a text-only MLX runtime for the model. The MLX backend also picked up mixed-precision quantization, better capability detection, and a batch of new op wrappers (Conv2d, Pad, activations, trig, masked SDPA, and RoPE-with-freqs).
• Hermes and GitHub Copilot CLI in ollama launch. Added both integrations, which can now be configured in one command alongside the rest of the supported coding agents.
• OpenCode moved to inline config. ollama launch opencode now writes its config inline rather than to a separate file, matching how other integrations are handled.
• ollama launch no longer rewrites config when nothing changed. Pressing → on a configured multi-model integration, or passing --model with the current primary, used to trigger a confirmation prompt and rewrite both the editor’s config file and config.json. Now it’s a no-op when the resolved model list matches what’s already saved.
• Fixed ollama launch openclaw --yes so it correctly skips the channels configuration step, so non-interactive setups complete cleanly.
• Restored the Gemma 4 nothink renderer with the e2b-style prompt.
• Fixed the Gemma 4 compiler error that was breaking Metal builds.
• Fixed macOS cross-compiles so they no longer trigger generate, which was breaking cmake builds on some Xcode versions.
• Quieted cgo builds by suppressing deprecated warnings during go build.

Full Changelog: https://github.com/ollama/ollama/compare/v0.20.7…v0.21.0

What’s Changed

• 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

Full Changelog: https://github.com/ollama/ollama/compare/v0.20.6…v0.20.7

What’s Changed

• 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 attachment errors

New Contributors

@matteocelani made their first contribution in #15272

Full Changelog: https://github.com/ollama/ollama/compare/v0.20.5…v0.20.6

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 launch opencode now detects curl-based OpenCode installs at ~/.opencode/bin
• Fix /save command for models imported from safetensors

New Contributors

• @sjhddh made their first contribution in https://github.com/ollama/ollama/pull/15424

Full Changelog: https://github.com/ollama/ollama/compare/v0.20.4…v0.20.5

What’s Changed

• mlx: Improve M5 performance with NAX
• gemma4: enable flash attention

Full Changelog: https://github.com/ollama/ollama/compare/v0.20.3…v0.20.4

What’s Changed

• Gemma 4 Tool Calling improvements
• Added latest models to Ollama App
• OpenClaw fixes for launching TUI

Full Changelog: https://github.com/ollama/ollama/compare/v0.20.2…v0.20.3

What’s Changed

• app: default app home view to new chat instead of launch by @jmorganca in https://github.com/ollama/ollama/pull/15312

Full Changelog: https://github.com/ollama/ollama/compare/v0.20.1…v0.20.2

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 by @ParthSareen in https://github.com/ollama/ollama/pull/15152
• mlx: respect tokenizer add_bos_token setting in pipeline by @dhiltgen in https://github.com/ollama/ollama/pull/15185
• tokenizer: add SentencePiece-style BPE support by @dhiltgen in https://github.com/ollama/ollama/pull/15162

Full Changelog: https://github.com/ollama/ollama/compare/v0.19.0…v0.20.0-rc0

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/assets/600297b0-3167-46a5-8e3a-fefda3a51b84

Read more: https://ollama.com/blog/mlx

What’s Changed

• Ollama’s app will now no longer incorrectly show “model is out of date”
• ollama launch pi now includes web search plugin that uses Ollama’s web search
• Improved KV cache hit rate when using the Anthropic-compatible API
• Fixed tool call parsing issue with Qwen3.5 where tool calls would be output in thinking
• MLX runner will now create periodic snapshots during prompt processing
• Fixed KV cache snapshot memory leak in MLX runner
• Fixed issue where flash attention would be incorrectly enabled for grok models
• Fixed qwen3-next:80b not loading in Ollama

New Contributors

• @amatas made their first contribution in https://github.com/ollama/ollama/pull/15022

Full Changelog: https://github.com/ollama/ollama/compare/v0.18.3…v0.19.0

What’s Changed

• 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 snapshots during prefill by @jessegross in https://github.com/ollama/ollama/pull/15058
• doc: update vscode doc by @hoyyeva in https://github.com/ollama/ollama/pull/15064

Full Changelog: https://github.com/ollama/ollama/compare/v0.18.3…v0.18.4-rc0

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 parser improvements for tool calls
• OpenClaw integration improvements for gateway checks

Full Changelog: https://github.com/ollama/ollama/compare/v0.18.2…v0.18.3

What’s Changed

• 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 Ollama’s websearch package correctly for OpenClaw

Full Changelog: https://github.com/ollama/ollama/compare/v0.18.1…v0.18.2

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 able to fetch the web and extract readable content for processing. This feature does not execute JavaScript.

When using local models with web search in OpenClaw, ensure you are signed into Ollama with ollama signin

ollama launch openclaw

You can install web search directly into OpenClaw as a plugin if you already have OpenClaw configured and working:

Ollama web search plugin

openclaw plugins install @ollama/openclaw-web-search

Non-interactive (headless) mode for ollama launch

ollama launch can now run in non-interactive mode.

Perfect for:

• Docker/containers: spin up an integration as a pipeline step to run evals, test prompts, or validate model behavior as part of your build. Tear it down when the job ends.

• CI/CD: Generate code reviews, security checks, and other tasks within your CI

• Scripts/automation: Kick off automated tasks with Ollama and claude code

• --model must be specified to run in headless mode

• --yes flag will auto-pull the model and skip any selectors

Try with: ollama launch claude --model kimi-k2.5:cloud --yes -- -p "how does this repository work?"

Use non-interactive mode in OpenClaw

You can ask your OpenClaw to run tasks using claude with subagents:

ollama launch claude --model kimi-k2.5:cloud --yes -- -p "how does this repository work?" using a subagent

What’s Changed

• ollama launch openclaw will now use the official Ollama auth and model provider for OpenClaw
• Improvements to Ollama’s benchmarking tool in ./cmd/bench
• ollama launch openclaw will now skip --install-daemon when systemd is unavailable

Full Changelog: https://github.com/ollama/ollama/compare/v0.18.0…v0.18.1

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 release of Ollama improves performance of cloud models and their reliability.

• Up to 2x faster speeds with Kimi-K2.5
• Tool calling accuracy has been improved

ollama launch openclaw --model kimi-k2.5

Ollama is now a provider in OpenClaw

Ollama can now be selected as an authentication and model provider during OpenClaw onboarding (thanks @BruceMacD for contributing and @steipete for reviewing!)

openclaw onboard --auth-choice ollama

More information: https://docs.openclaw.ai/providers/ollama

Nemotron-3-Super

Nemotron-3-Super: is a new 122B parameter model with strong reasoning and tool calling capability, while having top performance when run on modern hardware:

• ollama run nemotron-3-super:cloud
• ollama run nemotron-3-super to run locally (requires 96GB+ of VRAM)

Nemotron-3-Super scores highest of any open model on PinchBench, a benchmark suite that measures how successful models are at completing tasks when used with OpenClaw.

ollama launch openclaw --model nemotron-3-super:cloud

Or using OpenClaw’s onboarding:

openclaw onboard \
	--auth-choice ollama \
	--custom-model-id nemotron-3-super:cloud

Non-interactive task support

ollama launch now supports non-interactive tasks by passing in --yes. This enables using Claude, Codex, Pi and more in scripts, GitHub Actions, and other non-interactive environments.

ollama launch claude \
	--model glm-5:cloud \
	--yes \
	-- "Do a quick code review of this pull request and respond on GitHub with a comment summarizing your feedback."

Lower latency on MiniMax-M2.5 and Qwen3.5 on Ollama’s cloud

For customers in North America, MiniMax-M2.5 and Qwen3.5 on Ollama’s cloud now respond much faster, up to 10x and up to 2x faster respectively, and often in less than a second. This is ideal for tasks that require a fast Time To First Token (TTFT) when needing quick answers from OpenClaw or quick back-to-back coding tasks.

ollama launch claude --model minimax-m2.5

Driver updates required for ROCm 7

This version of Ollama ships with ROCm 7, and requires updating drivers to the latest version for continued support.

What’s Changed

• Ollama’s cloud models no longer require downloading via ollama pull. Setting :cloud as a tag will now automatically connect to cloud models.
• New --yes flag for ollama launch that skips all prompts, making it possible to run AI assistants and other tools in non-interactive environments
• Fixed issue where “Reset to Defaults” in Ollama’s app would disable downloading automatic updates.
• Ollama will now ensure context compaction occurs at the correct context length for each model when using ollama launch claude

New Contributors

• @flipbit03 made their first contribution in https://github.com/ollama/ollama/pull/14821
• @shivamtiwari3 made their first contribution in https://github.com/ollama/ollama/pull/14825

Full Changelog: https://github.com/ollama/ollama/compare/v0.17.7…v0.18.0

What’s Changed

• 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
• docs: format compat docs by @mxyng in https://github.com/ollama/ollama/pull/14678
• create: fix localhost handling by @dhiltgen in https://github.com/ollama/ollama/pull/14681
• build: smarter docker parallelism by @dhiltgen in https://github.com/ollama/ollama/pull/14653
• mlx: int4 groupsize 64 by @pdevine in https://github.com/ollama/ollama/pull/14682
• cloud_proxy: handle stream disconnects gracefully by @drifkin in https://github.com/ollama/ollama/pull/14685
• x/mlxrunner: replace sampler interface chain with single stateful Sampler by @pdevine in https://github.com/ollama/ollama/pull/14652
• rocm: update linux to v7.2 by @dhiltgen in https://github.com/ollama/ollama/pull/14391
• app: fix reset to defaults disabling auto-update by @hoyyeva in https://github.com/ollama/ollama/pull/14741
• mlx: get parameters from modelfile during model creation by @pdevine in https://github.com/ollama/ollama/pull/14747
• MLX: add header vendoring and remove go build tag by @dhiltgen in https://github.com/ollama/ollama/pull/14642
• ci: Fix windows build by @dhiltgen in https://github.com/ollama/ollama/pull/14754

Full Changelog: https://github.com/ollama/ollama/compare/v0.17.7…v0.17.8-rc1

What’s Changed

• 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

Full Changelog: https://github.com/ollama/ollama/compare/v0.17.6…v0.17.7

What’s Changed

• 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 Contributors

• @Victor-Quqi made their first contribution in https://github.com/ollama/ollama/pull/14584

Full Changelog: https://github.com/ollama/ollama/compare/v0.17.5…v0.17.6

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 due to no presence penalty (note: you may have to redownload the qwen3.5 models: ollama pull qwen3.5:35b for example)
• ollama run --verbose will now show peak memory usage when using Ollama’s MLX engine
• Fixed memory issues and crashes in MLX runner
• Fixed issue where Ollama would not be able to run models imported from Qwen3.5 GGUF files

Full Changelog: https://github.com/ollama/ollama/compare/v0.17.4…v0.17.5

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, scaling the architecture to 24 billion parameters while keeping inference efficient.

Note: for users on 0.17.1, this version will not automatically update. Re-downloading is required to receive the latest version of Ollama.

What’s Changed

• Tool call indices will now be included in parallel tool calls

Full Changelog: https://github.com/ollama/ollama/compare/v0.17.3…v0.17.4

What’s Changed

• Fixed issue where tool calls in the Qwen 3 and Qwen 3.5 model families would not be parsed correctly if emitted during thinking

Full Changelog: https://github.com/ollama/ollama/compare/v0.17.2…v0.17.3

What’s Changed

• Fixed issue where Ollama’s app on Windows would crash when a new update has been downloaded

Full Changelog: https://github.com/ollama/ollama/compare/v0.17.1…v0.17.2

What’s Changed

• Nemotron architecture support in Ollama’s engine
• MLX engine now has improved memory usage
• Ollama’s app will now allow models that support tools to use web search capabilities
• Improved LFM2 and LFM2.5 models in Ollama’s engine
• ollama create will no longer default to affine quantization for unquantized models when using the MLX engine
• Added configuration for disabling automatic update downloading

Full Changelog: https://github.com/ollama/ollama/compare/v0.17.0…v0.17.1

OpenClaw

OpenClaw can now be installed and configured automatically via Ollama, making it the easiest way to get up and running with OpenClaw with open models like Kimi-K2.5, GLM-5, and Minimax-M2.5.

Get started

ollama launch openclaw

Web search in OpenClaw

When using cloud models, websearch is enabled - allowing OpenClaw to search the internet.

What’s Changed

• Improved tokenizer performance
• Ollama’s macOS and Windows apps will now default to a context length based on available VRAM

New Contributors

• @natl-set made their first contribution in https://github.com/ollama/ollama/pull/14322

Full Changelog: https://github.com/ollama/ollama/compare/v0.16.3…v0.17.0