hiyouga/LlamaFactory

LlamaFactory

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

Repository Homepage

47/100

Stars71,461

Forks8,717

LanguagePython

LicenseApache-2.0

Overview

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

Best for

Evaluating LlamaFactory for Python AI workflows.
Comparing a GitHub project with 71,461 stars and current repository activity.

Pros

LlamaFactory has visible GitHub traction with 71,461 stars. Topics: agent, ai, deepseek.
The project provides an external homepage for deeper evaluation.

Cons

Production fit still depends on documentation depth, issue activity, and release cadence.
License review should confirm the Apache-2.0 terms fit your use case.

Production readiness

LlamaFactory should be validated with its README, release history, open issues, and integration requirements before production use.

License risk

Apache-2.0 is reported by GitHub; review the repository license before redistribution or commercial use.

Install

git clone --depth 1 https://github.com/hiyouga/LlamaFactory.gitpip install -e .pip install -r requirements/metrics.txtdocker run -it --rm --gpus=all --ipc=host hiyouga/llamafactory:latestuv run llamafactory-cli webui