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  <h2>GatorTron-Large overview </h2>
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- Developed by a joint effort between the University of Florida and NVIDIA, GatorTron-Base is a clinical language model of 345 million parameters, pre-trained using a BERT architecure implemented in the Megatron package (https://github.com/NVIDIA/Megatron-LM).
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  GatorTron-Large is pre-trained using a dataset consisting of:
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  <h2>GatorTron-Large overview </h2>
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+ Developed by a joint effort between the University of Florida and NVIDIA, GatorTron-Large is a clinical language model of 8.9 billion parameters, pre-trained using a BERT architecure implemented in the Megatron package (https://github.com/NVIDIA/Megatron-LM).
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  GatorTron-Large is pre-trained using a dataset consisting of:
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