Hugging Face PEFT: Parameter-Efficient Fine-Tuning of LLMs

AI Impact Summary

The 🤗 PEFT library introduces Parameter-Efficient Fine-Tuning (PEFT) techniques, allowing users to adapt large language models like GPT and T5 with significantly reduced computational and storage costs. This is achieved by only fine-tuning a small number of parameters, enabling training on consumer hardware and reducing the size of fine-tuned model checkpoints, which can be as small as a few MBs compared to the 40GB checkpoints of full fine-tuning.