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Abstract ClinMED-LLAMA3 is a large language model designed specifically for the field of clinical medicine. Based on the LLAMA3-8B-Instruct model, it has been professionally adapted through supervised fine-tuning and LoRA technology. The novelty of this model lies in the construction of its dedicated clinical medicine 50K dataset and the establishment of the Alpaca dataset. Through dual verification by humans and AI, the high quality and diversity of the data are ensured, providing a rich set of clinical interactions for model training. The model also possesses the capability for offline private deployment, effectively addressing medical institutions' concerns about data privacy and security. ClinMED-LLAMA3 has been optimized in terms of energy consumption, reducing the demand for computational resources, while maintaining high performance.
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Wei et al. (Wed,) studied this question.
www.synapsesocial.com/papers/68e5d34bb6db643587569542 — DOI: https://doi.org/10.21203/rs.3.rs-4703651/v1
MingYi Wei
Xin Liu
Shenzhen University
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