Local AI › Ollama
Ollama: what it is, how to install it and requirements
Engine and app to download and run language models with a single command. It includes a local API so other apps can connect to it.
Checked on 13 Oct 2026. Versions change every week: check the official site before installing.
| Operating systems | Windows, macOS and Linux (source) |
|---|---|
| Licence and price | MIT · free |
| Ease of use | Very easy |
| Current version | v0.40.3 (11 Oct 2026) |
| Official site | ollama.com · GitHub · DOA review and pricing |
How to install it
- Download and run OllamaSetup.exe (from ollama.com/download).
- Download Ollama.dmg and drag the app to Applications. The README also links to Homebrew:
brew install ollama. - Run
curl -fsSL https://ollama.com/install.sh | sh(official instructions). - First use, on any system:
ollama run gemma4orollama run qwen3.5:4b.ollama listshows the models you have installed. The local API listens onhttp://localhost:11434(README). Models marked «-cloud» in the Ollama library do not run on your computer.
Install guides by system: Windows · Mac · Linux. Which model to download: Which local AI model to pick for your RAM: 8, 16, 24, 32 GB.
Other local AI tools
- LM Studio: Desktop app with a graphical interface to find, download and chat with models in GGUF or MLX format. It also has a local server.
- Jan: Open-source desktop app to chat with models offline, ChatGPT-style.
- GPT4All: Nomic's desktop app to chat locally and ask questions about your own documents (LocalDocs).
- llama.cpp: C/C++ library and command-line tools that many apps are built on and that define the GGUF format. The most technical option.
- Open WebUI: Self-hosted, ChatGPT-style web interface that connects to Ollama or OpenAI-compatible APIs.
- ComfyUI: Node-based interface to generate images and video with open models on your own computer.