Summary
- 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 transformers ecosystem.