Ollama

tool active open-source

A tool for running LLMs locally with a simple CLI and API. Ollama makes local LLM deployment accessible by handling model downloads, quantization, and serving in a Docker-like experience. Pull a model and run it in one command.

Implements

Concepts this tool claims to implement:

  • Primary use case is running LLMs on local machines—laptops, desktops, edge servers. Optimized for consumer hardware.

  • Built-in API server for local inference. Manages model lifecycle, loading, and unloading.

  • Inference primary

    Efficient inference using llama.cpp backend with Metal (Mac) and CUDA (NVIDIA) acceleration.

  • OpenAI API secondary

    OpenAI-compatible API endpoint for easy integration with existing tools and libraries.

Integration Surfaces

  • CLI
  • REST API (OpenAI-compatible)
  • Python library
  • Docker

Details

Vendor
Ollama
License
MIT
Runs On
local
Used By
human, system

Notes

Ollama is the easiest way to run LLMs locally. Its Docker-like model management (ollama pull llama3.1) and cross-platform support make it the default choice for local LLM experimentation.