अवलोकन
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.
प्रमुख विशेषताएँ
- A unified fine-tuning toolkit for large language and vision-language models.
आवश्यकताएँ, इंस्टॉलेशन और त्वरित शुरुआत
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).
उपयोग
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).
मॉडल संगतता और उपयोग के मामले
रिपॉज़िटरी मेटाडेटा में मॉडल संगतता का उल्लेख नहीं है।
लाइसेंस और जोखिम संबंधी टिप्पणियाँ
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.
रिलीज़ और रखरखाव
[View upstream releases](https://github.com/hiyouga/LlamaFactory/releases).