12:35
2026-10-07
dev.to
machine-learning
How LoRA Actually Works: Low-Rank Decomposition, Weight Merging, and Memory Breakdown Under the Hood
A developer's technical breakdown explains why full-parameter fine-tuning of an 8-billion-parameter model in 16-bit precision exceeds 80 GB of VRAM, since AdamW training consumes roughly 16 bytes per …