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README.md
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@@ -10,6 +10,8 @@ The MELT-Mixtral-8x7B-Instruct-v0.1 Large Language Model (LLM) is a pretrained g
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MELT-Mixtral-8x7B-Instruct-v0.1 is 68.2% accurate across 3 USMLE benchmarks, surpassing the pass mark (>60%) in the U.S. Medical Licensing Examination (USMLE) style questions.
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## Model Details
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The Medical Education Language Transformer (MELT) models have been trained on a wide-range of text, chat, Q/A, and instruction data in the medical domain.
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MELT-Mixtral-8x7B-Instruct-v0.1 is 68.2% accurate across 3 USMLE benchmarks, surpassing the pass mark (>60%) in the U.S. Medical Licensing Examination (USMLE) style questions.
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To the best of our understanding our model is 4% less accurate than Google's 540 billion parameter [Med-Palm](https://sites.research.google/med-palm/), which is 10X larger.
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## Model Details
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The Medical Education Language Transformer (MELT) models have been trained on a wide-range of text, chat, Q/A, and instruction data in the medical domain.
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