Ollama
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:
- Edge Deployment primary
Primary use case is running LLMs on local machines—laptops, desktops, edge servers. Optimized for consumer hardware.
- Model Serving primary
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
Details
- Vendor
- Ollama
- License
- MIT
- Runs On
- local
- Used By
- human, system
Links
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.