Text Generation
Transformers
Safetensors
English
llama
mergekit
Merge
medical
conversational
Eval Results
Inference Endpoints
text-generation-inference
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  ```
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  ### Usage:
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM
 
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  ```
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+ # Comparision Against Dr.Samantha 7B
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+ | Subject | Medichat-Llama3-8B Accuracy (%) | Dr. Samantha Accuracy (%) |
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+ |-------------------------|---------------------------------|---------------------------|
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+ | Clinical Knowledge | 71.70 | 52.83 |
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+ | Medical Genetics | 78.00 | 49.00 |
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+ | Human Aging | 70.40 | 58.29 |
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+ | Human Sexuality | 73.28 | 55.73 |
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+ | College Medicine | 62.43 | 38.73 |
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+ | Anatomy | 64.44 | 41.48 |
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+ | College Biology | 72.22 | 52.08 |
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+ | High School Biology | 77.10 | 53.23 |
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+ | Professional Medicine | 63.97 | 38.73 |
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+ | Nutrition | 73.86 | 50.33 |
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+ | Professional Psychology | 68.95 | 46.57 |
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+ | Virology | 54.22 | 41.57 |
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+ | High School Psychology | 83.67 | 66.60 |
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+ | **Average** | **70.33** | **48.85** |
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+ The current model demonstrates a substantial improvement over the previous [Dr. Samantha](sethuiyer/Dr_Samantha-7b) model in terms of subject-specific knowledge and accuracy.
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  ### Usage:
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM