Ajuste fino, treinamento e dados

LlamaFactory

hiyouga/LlamaFactory

A unified fine-tuning toolkit for large language and vision-language models.

★ 74,6KEstrelas
⑂ 9,1KForks
1143Problemas em aberto
PythonIdioma
Apache-2.0Licença
Q90Pontuação editorial

Visão geral

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.

Principais recursos

  • A unified fine-tuning toolkit for large language and vision-language models.

Requisitos, instalação e início rápido

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).

Uso

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).

Compatibilidade do modelo e casos de uso

A compatibilidade do modelo não está especificada nos metadados do repositório.

Observações sobre licença e riscos

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.

Lançamento e manutenção

[View upstream releases](https://github.com/hiyouga/LlamaFactory/releases).

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