Overzicht
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.
Belangrijkste functies
- A unified fine-tuning toolkit for large language and vision-language models.
Vereisten, installatie en snel aan de slag
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).
Gebruik
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).
Modelcompatibiliteit en gebruiksscenario's
Modelcompatibiliteit staat niet vermeld in de metadata van de repository.
Licentie- en risiconotities
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 en onderhoud
[View upstream releases](https://github.com/hiyouga/LlamaFactory/releases).