Vue d’ensemble
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.
Fonctionnalités clés
- A unified fine-tuning toolkit for large language and vision-language models.
Prérequis, installation et démarrage rapide
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).
Utilisation
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).
Compatibilité des modèles et cas d’usage
La compatibilité des modèles n’est pas indiquée dans les métadonnées du dépôt.
Licence et notes sur les risques
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.
Publication et maintenance
[View upstream releases](https://github.com/hiyouga/LlamaFactory/releases).