calibrated-refusal

FinRAG-12B is a 12B-parameter LLM optimized for retrieval-augmented generation in banking, featuring a unified training framework that improves answer quality, citation grounding, and calibrated refusal. The model outperforms GPT-4.1 in citation grounding and is deployed across over 40 financial institutions with significant cost and latency advantages.