Tag
This paper presents a deployment-focused study comparing LoRA fine-tuning of 24 model variants (270M–8B parameters) for merchant information extraction from financial transaction strings. The authors find that smaller models like Qwen 3.5 4B achieve 96.6% F1, within 0.35 points of the 8B baseline, while offering significant reductions in latency and cost.