PEFT (Parameter-Efficient Fine-Tuning)

Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transform

Source: github.com/NousResearch/hermes-agent/tree/main/skills/mlops/training/peft · License: MIT