AIBullisharXiv – CS AI · 3h ago7/10
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RadLite: Multi-Task LoRA Fine-Tuning of Small Language Models for CPU-Deployable Radiology AI
Researchers demonstrate that small language models (3-4B parameters) can achieve strong multi-task radiology performance through LoRA fine-tuning, enabling deployment on consumer-grade CPUs without GPUs. The RadLite system, trained on 162K samples across 9 radiology tasks, shows dramatic performance improvements over zero-shot baselines and can be quantized to 1.8-2.4GB for practical clinical deployment.