PEFT, LoRA, and QLoRA: A Practical Guide to Efficient LLM Fine-Tuning

TLDR: Full fine-tuning updates every model weight, which is expensive in memory, compute, and storage. PEFT methods update only a small trainable slice. LoRA learns low-rank adapters on top of frozen