Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide

Two years ago, fine-tuning a large language model required a rack of A100s, a machine learning team, and a five-figure cloud bill. In 2026, a single RTX 4070 Ti is enough to specialize a 7B model on your domain data — in an afternoon. That shift happened because of two techniques: LoRA (Low-Rank Adaptation) and QLoRA (Quantized LoRA). Together they compress the problem of "update 7 billion parameters" into "update 0.1% of them, and compress the rest to 4-bit integers." The math is elegant. The...