Overview
CLI to run local LLMs (Docker-like)
Best for: Local LLM inference; private AI assistant; development testing; offline AI; privacy-first deployment
At a glance
Pricing
Free
- Difficulty
- Intermediate
- Time to productivity
- 15 min
- Privacy
- High
- Learning curve
- Moderate
Ideal for
Developersprivacy-focused usersAI enthusiastsself-hostersenterprises wanting local AI
Key capabilities
Works with
- Text
- code
Outputs
- Text
- API responses (OpenAI-compatible JSON)
Mobile access
How to use Ollama on phones and tablets.
- Not optimized for mobile browsers (e.g. desktop-first or CLI). Use a desktop when possible.
Free Tier
Completely free and open-source; all features included
Limits: None (hardware-limited only); runs on your machine
When to upgrade: N/A (fully free); upgrade hardware for larger models
Technical Details
Type: desktop, local
Offline: Yes
API: Yes
Languages: Multilingual (depends on model; Llama, Mistral, Qwen all multilingual)
Integrations: Open WebUI, Cursor, Aider, LangChain, n8n, Continue.dev, thousands of tools via OpenAI-compatible API
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