Building on the foundation of the 7B model, this 10B-parameter variant offers enhanced medical reasoning capabilities while maintaining reasonable computational requirements. It demonstrates superior performance in complex medical terminology processing, detailed clinical analysis, and nuanced healthcare documentation interpretation. The model excels in generating more comprehensive medical summaries and handling intricate clinical scenarios with greater context awareness. Its balanced architecture delivers improved accuracy in specialized medical tasks while keeping resource utilization manageable. Optimized for RAG applications, it effectively processes and synthesizes information from medical literature, clinical guidelines, and patient records. This model is ideal for healthcare institutions requiring deeper medical understanding and more sophisticated analysis capabilities while maintaining operational efficiency. Benchmarking Results: Surpasses Med-PaLM-1 with 75.19% average on medical benchmarks Exceptional clinical analysis (88.19%), approaching GPT-4's performance Outperforms larger models in Medical Genetics (82% vs Med-PaLM-1's 75%) Maintains competitive accuracy with models 7x its size Perfect balance of performance and computational efficiency