LLaMA-Factory: A Unified Framework for Efficient Fine-tuning of 100+ LLMs

LLaMA-Factory is an open-source framework that enables efficient fine-tuning of over 100 large language models (LLMs), including LLaMA, LLaVA, and Mistral. It integrates various fine-tuning methods (like LoRA, QLoRA, and OFT), offers scalable resources and advanced algorithms, and covers a wide range of tasks such as multi-turn dialogue and image understanding. LLaMA-Factory also supports various inference acceleration techniques and provides a user-friendly interface and API. Constantly updated with support for the latest models and techniques, LLaMA-Factory aims to provide developers with a convenient and efficient tool for LLM fine-tuning.