NAM00/context_tuned_patient_matching_Llama-3.2-1B-Instruct is a fine-tuned Llama-3.2-1B-Instruct model developed by NAM00. This 1 billion parameter model is specialized for patient matching tasks, building upon the base Llama 3.2 architecture. It is optimized for specific contextual understanding within healthcare data, aiming to improve accuracy in identifying related patient records. The model's fine-tuning focuses on enhancing its ability to process and match patient information effectively.
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