MoaData/Myrrh_solar_10.7b_3.0

MoaData/Myrrh_solar_10.7b_3.0 is a 10.7 billion parameter causal language model developed by Taeeon Park and Gihong Lee at MoAData. This model is specifically trained using DPO on a custom medical dataset derived from AI-hub, making it specialized for medical domain applications. Its primary strength lies in processing and generating content related to medical information, leveraging its fine-tuning on a dedicated medical corpus.