LLaMA-Factory
Unified and efficient fine-tuning framework for 100+ LLMs and VLMs with a web UI.
Why consider LLaMA-Factory?
LLaMA-Factory is an open-source, web-based large language model fine-tuning suite written in Python by Yaowei Zheng. Supporting over 100 open foundation models (LLaMA 3, Mistral, Qwen, Gemma), it integrates LoRA, QLoRA, GaLore, and DPO alignment via an easy-to-use Gradio dashboard.
Learn LLaMA-Factory by building
Practical setup notes, real use cases, and copy-ready examples in one focused guide.
In this guide2 sections
Overview of LLaMA-Factory
LLaMA-Factory accelerates Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO) via an interactive GUI.
Quickstart
git clone --depth 1 https://github.com/hiyouga/LLaMA-Factory.gitcd LLaMA-Factory && pip install -e ".[torch,metrics]"llamafactory-cli webuiLLaMA-Factory is licensed under the Apache License Version 2.0.
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