Run and manage open large models (LLMs) locally, ensuring data privacy and automated workflows.
Overview
Ollama provides a simple way to automate work using open models while protecting data privacy. It supports local deployment and multi-model management, suitable for developers, data teams, and internal enterprise tools.
- Core features: model hosting, local inference, API and CLI
- Use cases: automation scripts, internal knowledge bases, privacy-sensitive applications
- Key advantages: easy to get started, data stays on-premises, low latency, multi-model compatibility
Example: Use the ollama command or REST API to quickly start a model and run ollama run llama2 --prompt "...".