Overview
A unified fine-tuning toolkit for large language and vision-language models. The repository is maintained under hiyouga on GitHub. Its primary language is Python. See the [project README](https://github.com/hiyouga/LlamaFactory#readme) for the supported workflows.
Key features
- A unified fine-tuning toolkit for large language and vision-language models.
Requirements, installation and quick start
Follow the official installation guide for your Python environment and compute backend. Use an isolated environment and the dependency versions specified upstream.
[Read the upstream installation and quickstart instructions](https://github.com/hiyouga/LlamaFactory#readme).
[Read the upstream installation and quickstart instructions](https://github.com/hiyouga/LlamaFactory#readme).
Usage
Begin with an upstream example and a small dataset; validate the results before moving to larger training or evaluation workloads.
[Usage examples and configuration reference](https://github.com/hiyouga/LlamaFactory#readme).
[Usage examples and configuration reference](https://github.com/hiyouga/LlamaFactory#readme).
Model compatibility and use cases
Model compatibility is not stated in the repository metadata.
License and risk notes
GitHub reports Apache-2.0 for this repository. Review the upstream license file; model weights, datasets and dependencies may have separate terms.
Source review 2026-09-05: GitHub search metadata and repository README. No runtime benchmark performed. License metadata: Apache-2.0.
Release and maintenance
[View upstream releases](https://github.com/hiyouga/LlamaFactory/releases).