Tool · Inference runtime · Ollama
Ollama
Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
- License
- PermissiveMIT License
- Language
- Go
- Latest release
- 3 Nov 2026Ollama v0.40.15
- Measurements
- 0with this runtime
Relationships
- Toolllama.cppBuilt on
- ToolAiderIntegrated by
- ToolContinueIntegrated by
- ToolOpen WebUIIntegrated by
Releases & news
- Ollama v0.40.15Xiaomi MiMo's mimo-v2.6, a 9B model built for code and agent workflows, is now supported in Ollama.
- Ollama v0.40.14What'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…
- Ollama v0.40.13Liquid AI's LFM3 models, including text-to-speech in lfm3-audio and lfm3-omni, now run on Linux and Windows as well as Apple silicon.
- Ollama v0.40.12LFM3 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:
- Ollama v0.40.11Ollama can now generate 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.
- Ollama v0.40.10Nemotron 3.5 Bolt E4B 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.
- Ollama v0.40.9Flint on Linux and Windows 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'…
- Ollama v0.40.8Flint brings Recursive's coding model to Ollama. It is designed for the work coding agents do across a repository: understanding unfamiliar code, tracing bugs, implementing features, and adding tests. Reasoning, multi-turn tool use, and a 262K-token context window support longer
- Ollama v0.40.7pplx-decider is a 27B decision model from Perplexity, fine-tuned from
- Ollama v0.40.6What's Changed win: prevent orphaned runners by @dhiltgen in #18500 gguf: add the q2_0 tensor and file types by @jmorganca in #18967 Launch clef in Ollama's cloud by @jberg5 in #19036 use identifiers for --ask mode question keys by @jberg5 in #19041 Full Changelog :…
- Ollama v0.40.5NVIDIA Nemotron 3.5 Super NVIDIA Nemotron 3.5 Super is a vision-language model for coding, reasoning, tool use, and document understanding. It pairs a 120B-parameter hybrid Mamba-2/Transformer mixture-of-experts backbone (12B active per token) with a C-RADIO vision encoder, and…
- Ollama v0.40.4Decision models can now be used directly from the terminal with ollama run — ask yes/no questions, classify text into labels, or score against a rubric:
- Ollama v0.40.3What's Changed ollama launch claude no longer shows a warning about Claude connectors by @hoyyeva in #18878 ollama launch codex no longer warns about service tiers by @hoyyeva in #18879 Paused background model upgrade for embedding and other request performance, by @jmorganca…
- Ollama v0.40.2Model 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 original copy as a backup, so upgraded…
- Ollama v0.40.1server: proxy cloud usage and balance APIs by @drifkin in https://github.com/ollama/ollama/pull/18829
- Ollama v0.40.0What's Changed 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 , qwen3.6 and qwen3.5…
- Ollama v0.35.1Clef 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, shared by all questions and scored…
- Ollama v0.35.0Decision 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 content classification. Available…
- Ollama v0.34.4Structured outputs on thinking models now apply in a single pass, making them faster and more reliable.
- Ollama v0.34.3What's Changed 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": "glm-5.3-flash:cloud"} '…
Measured performance with this runtime
Throughput members and projects recorded, in tokens per secondHow fast the model writes its answer; about 10 tokens per second reads like comfortable typing..
No performance measurements recorded yet.
Reviews
Contributions are not open yet, so there is nothing here from members.
Sources & history
Sources
- GitHub (live source, 62 records, 6 Nov 2026)
- GitHub (fixture) (illustrative fixture, 1 record, 13 Sept 2026)
- Mutinai illustrative fixtures (illustrative fixture, 1 record, 13 Sept 2026)
External identifiers
- github ollama/ollama
Field history
- homepageUrl = "https://ollama.com" — GitHub (current)
- homepageUrl = "https://ollama.com" — GitHub
- homepageUrl = "https://ollama.com" — GitHub
- homepageUrl = "https://ollama.com" — GitHub
- homepageUrl = "https://ollama.com" — GitHub
- homepageUrl = "https://ollama.com" — GitHub
- homepageUrl = "https://ollama.com" — GitHub
- homepageUrl = "https://ollama.com" — GitHub
- homepageUrl = "https://ollama.com" — GitHub
- homepageUrl = "https://ollama.com" — GitHub
- homepageUrl = "https://ollama.com" — GitHub
- homepageUrl = "https://ollama.com" — GitHub