What’s Changed

• llm: transcode WebP images for llama-server
• renderers/qwen: tolerate non-leading system messages

Full Changelog: https://github.com/ollama/ollama/compare/v0.32.13…v0.32.14

What’s Changed

• qwen3.8: support developer instructions

Full Changelog: https://github.com/ollama/ollama/compare/v0.32.12…v0.32.13

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 particular optimized for maximum performance and output quality suitable for repeated tasks and coding agents.

ollama run qwen3.8:27b-mlx

Qwen 3.8 - 27B model support

This release adds the support of Qwen 3.8 27B.

For Apple Silicon devices, Ollama has in particular optimized for maximum performance and output quality suitable for repeated tasks and coding agents.

Qwen 3.8 model page:

https://ollama.com/library/qwen3.8

Qwen3.8 delivers substantial gains across coding, professional work, research, and long-horizon agentic tasks.

What’s Changed

• 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 updates

Full Changelog: https://github.com/ollama/ollama/compare/v0.32.10…v0.32.11

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 Agent – all supported by the NVIDIA NemoClaw open source security and management stack for running always-on AI agents.

ollama run nemotron-3.5-lightning

What’s Changed

• Added the Nemotron 3 architecture
• Handle boundary condition in Muse Glimmer function calling parser

Full Changelog: https://github.com/ollama/ollama/compare/v0.32.8…v0.32.9

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 engine provides state-of-the-art performance on Apple Silicon for this model, with support for DFlash and image input as of Ollama 0.32.7.

To download and run Muse Glimmer locally:

ollama run muse-glimmer

To run Muse Glimmer with Claude Code, download Ollama and run:

ollama launch claude --model muse-glimmer

For a lighter-weight coding agent, try Pi:

ollama launch pi --model muse-glimmer

For personal assistant frameworks such as OpenClaw and Hermes, use:

ollama launch openclaw --model muse-glimmer

ollama launch hermes --model muse-glimmer

What’s Changed

• Add Muse Glimmer support for NVIDIA, AMD, and additional platforms

Full Changelog: https://github.com/ollama/ollama/compare/v0.32.7…v0.32.8

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 days.

Muse Glimmer, Meta’s newest open model and the first released by Meta Superintelligence Labs, is now available on Ollama. It’s a 30B multimodal model purpose-built for agent workloads that run locally.

With Ollama, you can now use Muse Glimmer to 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 engine provides state-of-the-art performance on Apple Silicon for this model, with support for DFlash and image input as of Ollama 0.32.7.

To download and run Muse Glimmer locally:

ollama run muse-glimmer:30b-mlx

To run Muse Glimmer on Apple Silicon with Claude Code, download Ollama and run:

ollama launch claude --model muse-glimmer:30b-mlx

For a lighter-weight coding agent, try Pi:

ollama launch pi --model muse-glimmer:30b-mlx

For personal assistant frameworks such as OpenClaw and Hermes, use:

ollama launch openclaw --model muse-glimmer:30b-mlx

ollama launch hermes --model muse-glimmer:30b-mlx

What’s Changed

• 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 chunk, and usage in a separate chunk with stream_options.include_usage.
• Truncated OpenAI responses now report finish_reason: "length" instead of "tool_calls".
• ollama run kimi-k3 now offers kimi-k3:cloud for cloud-only models that publish no default tag, instead of failing.
• TUI fixes: pipe-delimited prose no longer renders as a table, Enter accepts the highlighted @ file completion, and /prompt scrolling is no longer laggy.
• Experimental image generation has been temporarily removed. Continue using 0.32.5 for image generation support
• Updated the MLX and llama.cpp engines.

Full Changelog: https://github.com/ollama/ollama/compare/v0.32.5…v0.32.6-rc0

What’s Changed

• Fixed an MLX Metal bug that could reduce output quality for NVFP4 models, particularly Laguna.

Full Changelog: https://github.com/ollama/ollama/compare/v0.32.4…v0.32.5

What’s Changed

• 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 projection (~4–9% on M5 Max).

Full Changelog: https://github.com/ollama/ollama/compare/v0.32.3…v0.32.4

What’s Changed

• 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, B200 support through CUDA 12, and lower memory use on Linux CUDA/ROCm iGPUs.
• Added chat, thinking, and tool calling support for Laguna 2.1 models, including a Metal inference fix.
• Fixed GLM tool calls being silently dropped at the end of generation.
• Updated the MLX and llama.cpp engines.

Full Changelog: https://github.com/ollama/ollama/compare/v0.32.1…v0.32.3

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

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.

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