Clinical-BR-LlaMA-2-7B is a 7 billion parameter language model developed by HAILab and Comsentimento, fine-tuned from LlaMA 2 for generating clinical notes in Portuguese. It utilizes LoRA with 16-bit precision for memory efficiency and was trained on 2.4GB of diverse clinical datasets from Brazilian hospitals and European Portuguese medical journals. This model is specifically designed to support healthcare professionals by producing contextually accurate and relevant clinical documentation in Portuguese.
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