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ollama version history

10 releases tracked, newest first.

v0.31.1

Jun 30, 2026
## Faster Gemma 4 on Apple Silicon <img width="1037" height="485" alt="Screenshot 2026-06-30 at 5 25 29 PM" src="https://github.com/user-attachments/assets/547d5076-090f-43c4-a661-938e11abc955" /> 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

8 downloads

v0.30.12-rc0

Pre-releaseJun 29, 2026
## What's Changed * tools: ignore braces inside JSON strings when detecting tool call end by @aditya-786 in https://github.com/ollama/ollama/pull/16937 * mlx: bump dependency by @dhiltgen in https://github.com/ollama/ollama/pull/16935 * llama.cpp update by @dhiltgen in https://github.com/ollama/ollama/pull/16960 ## New Contributors * @aditya-786 made their first contribution in https://github.com/ollama/ollama/pull/16937 **Full Changelog**: https://github.com/ollama/ollama/compare/v0.30.11...v0.30.12-rc0

8 downloads

v0.30.11

Jun 25, 2026
## 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 at

8 downloads

v0.30.10

Jun 17, 2026
## 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

8 downloads

v0.30.9

Jun 15, 2026
## 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

8 downloads

v0.30.8

Jun 12, 2026
## 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

8 downloads

v0.30.7

Jun 7, 2026
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 ``` <img width="2556" height="1716" alt="image" src="https://github.com/user-attachments/assets/3b2292d8-9f94-4d32-9023-85772e6ab3f8" /> 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

8 downloads

v0.30.6

Jun 5, 2026
# New models - [Gemma 4 QAT weights](https://ollama.com/library/gemma4): 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](https://omp.sh), 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

8 downloads

v0.30.5

Jun 4, 2026
## 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

8 downloads

v0.30.4

Jun 3, 2026
# New models - [Nemotron-3-Ultra](https://ollama.com/library/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

8 downloads