StanfordShahLab/llama-base-4096-clmbr

This model aims to be a base template for new models. It has been generated using this raw template.

# MedicalLlama3.2-11B-IT ## Model Description This is a fine-tuned version of meta-llama/Llama-3.2-11B-Vision-Instruct on a multimodal dataset consisting of radiological images and associated medical concepts and captions extracted from the PMC Open Access Subset.

This model is a high-performance Named Entity Recognition (NER) model designed specifically for medical text. It identifies entities such as diseases, symptoms, procedures, medications, and healthcare providers with high precision and recall, making it ideal for clinical and healthcare applications.

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