Overview
Description
Axolotl lets you fine-tune the best open-source LLMs on your own data — no vendor lock-in, no per-seat fees. Get production-quality custom models using your existing GPU hardware with one-click Docker deployment and built-in support for the latest training techniques. Train faster, cheaper, and keep full control of your intellectual property.
Technical scorecard
License
Apache-2.0
Commercial use
Yes
OpenAI-compatible API
No
REST API
No
Fine-tuning support
Yes
Quantization support
Yes
Docker available
Yes
GUI / no-code available
No
Telemetry
Opt-out
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?
Opt-out
Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.
Deploying Axolotl in production?
Stop silent telemetry leaks before they trigger an unintended data leak. Get our Airgap Certainty Blueprint for Axolotl.
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/axolotl-ai-cloud/axolotlHardware Requirements
Works Well With