Fine-Tuning a 7B LLM Required 4 A100s. LoRA Did It on One GPU. Here Is the Math Behind Why.
中文摘要
解析LoRA原理，通过矩阵分解与量化实现单显卡微调7B模型。
English Summary
This technical deep-dive explains how LoRA and QLoRA use matrix decomposition and quantization to allow fine-tuning 7B LLMs on a single GPU instead of four A100s.
原文节选
A complete technical deep-dive into Low-Rank Adaptation, the mathematics of matrix decomposition, QLoRA with 4-bit NF4 quantisation, the… Continue reading on Medium »