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LLaMA Factory

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

View on GitHub Official site
Fine Tuning Training Apache-2.0 Medium setup 73,438 stars

Overview

Description

LLaMA Factory lets businesses fine-tune 100+ leading open-source AI models without writing code. Use the CLI or Web UI to adapt models like Llama, Qwen, and DeepSeek to your specific domain — no ML expertise required. The bottom line: you get custom AI assistants faster and cheaper than building from scratch.

Technical scorecard

License

Apache-2.0

Commercial use

Yes

OpenAI-compatible API

Yes

REST API

Yes

Fine-tuning support

Yes

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.

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Setup & Installation

Medium

A developer can usually get this running with standard docs.

# Start with the official project repository
# https://github.com/hiyouga/LlamaFactory

Hardware Requirements

Hardware tagsGPU (NVIDIA), GPU (AMD), NPU
LanguagesPython

Works Well With