LlamaFactory

LlamaFactory addresses the challenge of efficiently fine-tuning over 100 large language models (LLMs) and vision-language models (VLMs), a task that can be resource-intensive and complex. This open source tool for engineering teams is particularly beneficial for ML and AI teams looking to enhance their models' performance without extensive computational overhead. With a maturity level suitable for production use, LlamaFactory provides a robust framework for teams aiming to implement advanced AI solutions. However, it may not be the right choice for projects requiring highly specialised model architectures or those with very limited computational resources.

LlamaFactory is a strong choice when teams need a production-ready solution for fine-tuning multiple LLMs and VLMs efficiently. Teams should consider alternatives if they require highly customisable models or if their projects involve unique data types that may not be well-supported.

This tool is ideal for machine learning engineers and AI researchers who need to streamline the fine-tuning process. It is commonly integrated into products and systems focused on natural language processing, conversational agents, and computer vision applications.

Latest commit: 2026-02-12. Over the past 45 days, this repository gained 2.5k stars (+3.9% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.