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Easily download, run, and manage large language models (LLMs) like Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, and Mistral Small 3.1 on your local machine. Get started with powerful AI models offline.
Ollama is a tool that allows users to set up and run open-source large language models (LLMs) on their personal computers or servers with minimal effort.
Simplifies the complex process of installing dependencies, managing weights, and setting up servers required to run LLMs, making cutting-edge AI accessible locally.
Quick setup on macOS, Linux, and Windows.
Access and pull popular LLMs directly from the Ollama library.
Interact with models via a user-friendly command-line interface or a standard REST API for developers.
Build and share your own custom models using a Modelfile.
Ollama is suitable for various scenarios where running LLMs locally or in a self-hosted environment is beneficial:
Developers can quickly spin up different models for testing applications or experimenting with prompt engineering without relying on external APIs.
Faster iteration, reduced costs, and offline capability for AI development.
Process sensitive data using LLMs entirely on-premises, ensuring data never leaves the local network or device.
Enhanced data privacy and security compliance.
Run LLMs on laptops or machines without constant internet access for tasks like text generation, summarization, or coding assistance.
Enables productivity and access to AI capabilities in offline environments.
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