Book Synopsis & Overview
Step-by-step methodology for domain-adapting 8B to 70B parameter models on consumer GPUs using QLoRA and FlashAttention-2.
Chapter 1: The Geometry of Low-Rank Adapters
Rather than updating 70 billion weight matrices, LoRA decomposes parameter deltas into low-rank representations, cutting VRAM overhead by 80% while retaining full generalization capacity.
Publishing & Format Specifications
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