Overview
Description
Run hundreds of open-source AI models on your own hardware with zero cloud dependency. The big picture: download, install, and start chatting with models like Gemma, DeepSeek, Qwen, and Llama in minutes. Here's why it matters: no subscription, no API keys, and full data privacy — everything runs locally on your machine. The bottom line: a single binary that handles model management, inference, and API access so you and your team can experiment with AI without vendor lock-in.
Technical scorecard
License
MIT
Commercial use
Yes
OpenAI-compatible API
Yes
REST API
Yes
Fine-tuning support
No
Quantization support
Yes
Docker available
Yes
GUI / no-code available
Yes
Telemetry
Unknown
Offline after setup
Yes
Data & Privacy
Does it send data online?
After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.
Does it store history?
Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.
License checks?
Commercial use is marked as allowed or likely allowed by the listed license.
Telemetry?
Unknown
Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.
Deploying Ollama in production?
Stop silent telemetry leaks before they trigger an unintended data leak. Get our Airgap Certainty Blueprint for Ollama.
Request Privacy and Telemetry AuditSetup & Installation
A developer can usually get this running with standard docs.
# Start with the official project repository
# https://github.com/ollama/ollamaHardware Requirements
Works Well With