Fine-Tune LLMs on a Single GPU Using LoRA and PEFT

LoRA makes single-GPU fine-tuning possible by updating adapters instead of rewriting the full model. QLoRA pushes further by quantizing the frozen base model, which frees up memory for the trainable adapter, optimizer state, and batches. Here's what single-GPU LoRA and QLoRA workflows look like in…