peft

PEFT addresses the challenge of efficiently fine-tuning large language models (LLMs) without the need for extensive computational resources. This is particularly beneficial for ML/AI teams looking to optimise performance while minimising costs. With over 20,000 stars on GitHub, the tool demonstrates significant community interest and is considered a production-ready solution. Its maturity level suggests reliability for real-world applications. However, it may not be the right choice for teams requiring full model retraining or those working with highly specialised datasets that demand bespoke fine-tuning techniques.

PEFT is a strong choice when teams need to enhance the performance of existing models with minimal resource investment. Consider alternatives if your project requires extensive model customisation or if you are working with smaller datasets that may not benefit from parameter-efficient strategies.

This open source tool for engineering teams is primarily used by data scientists, ML engineers, and AI researchers focused on model optimisation. It is commonly integrated into products and systems that leverage natural language processing, such as chatbots, recommendation engines, and automated content generation platforms.

Latest commit: 2026-02-13. Over the past 96 days, this repository gained 612 stars (+3.1% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.