llSourcell/Doctor-Dignity
A fine-tuned Llama2 7B model for passing the US Medical Licensing Exam, designed to run locally for privacy.

Doctor Dignity fine-tunes Meta’s Llama2 7B parameter model on a medical dialogue dataset and applies Reinforcement Learning with Constitutional AI for improved responses. The resulting 3GB model runs entirely offline on iOS, Android, and web, preserving patient confidentiality without requiring external API calls. It uses quantization via Bitsandbytes to keep the model small enough for local deployment while maintaining medical knowledge suitable for exam preparation.