Overview

Ollama is the easiest way to run large language models locally on your own hardware. It wraps model downloading, inference, and management into a single, streamlined CLI tool and API server. With support for thousands of models from Llama and Mistral to Gemma and Phi, Ollama makes local AI accessible to anyone with a modern computer — no GPU required, no cloud subscription needed, and full data privacy by design.

Key Features

• One-Command Setup: Download and run any model with a single command: ollama run llama3
• OpenAI-Compatible API: Drop-in replacement for OpenAI’s API — use your existing tools and libraries with local models
• Model Library: Access thousands of pre-configured models from the official library, including Llama, Mistral, Gemma, Phi, and Qwen families
• Custom Modelfiles: Create and share custom model configurations with specific system prompts, parameters, and template formats
• GPU Acceleration: Automatic NVIDIA GPU detection and acceleration on Linux and Windows (CUDA), plus Metal on macOS
• Multi-Modal Models: Run vision-language models like LLaVA and Gemma 3 that can analyse images alongside text
• Cross-Platform: Native support for macOS, Linux, and Windows, plus Docker deployment options
• Built-in HTTP Server: ollama serve starts a local REST API server for integration with applications

Why Use It

Ollama removes every barrier to running local LLMs. There is no need to hunt for model weights, figure out Python virtual environments, or configure inference engines. It works out of the box, and its OpenAI-compatible API means you can switch any existing AI application from cloud to local by changing a single URL. For privacy-conscious users, developers prototyping AI features, and anyone wanting to experiment with LLMs without monthly subscription fees, Ollama is the simplest on-ramp available.

Use Cases

• Private AI assistant — run a local chatbot with no data leaving your machine
• Developer prototyping — test prompts and models before deploying to production
• Offline AI access — use LLMs without internet connectivity
• Custom model experimentation — fine-tune Modelfiles for specific tasks
• Integration testing — replace cloud AI APIs with a local endpoint during development

Platforms

Linux, macOS, Windows, Docker

Licence

MIT License

Website

ollama.com · GitHub Repository