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README.md
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Llama2-MedTuned-13b is adept at understanding intricate biomedical contexts and is particularly effective in executing NER, RE, and NLI tasks with higher accuracy. It is proficient in generating outputs that align well with the structured formats required for standard evaluation metrics in biomedical NLP.
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# Architecture
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The Llama2-MedTuned-13b model is built upon the autoregressive transformer architecture of the original Llama2 13B model. This model preserves the core transformer layers and attention mechanisms, with
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# Citation
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For using Llama2-MedTuned-13b in academic work or applications, kindly cite the following paper:
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Llama2-MedTuned-13b is adept at understanding intricate biomedical contexts and is particularly effective in executing NER, RE, and NLI tasks with higher accuracy. It is proficient in generating outputs that align well with the structured formats required for standard evaluation metrics in biomedical NLP.
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# Architecture
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The Llama2-MedTuned-13b model is built upon the autoregressive transformer architecture of the original Llama2 13B model. This model preserves the core transformer layers and attention mechanisms, with specialised adjustments for enhanced performance in the biomedical language domain.
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# Citation
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For using Llama2-MedTuned-13b in academic work or applications, kindly cite the following paper:
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