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README.md
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dtype: bfloat16
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```
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## 💻 Usage
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```python
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dtype: bfloat16
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```
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## OpenLLM Evaluation
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Details about that can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_sethuiyer__Dr_Samantha_7b_mistral). Overall, with regards to the
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subjects related to medical domain, the model's performance is as follows:
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| Subject | Accuracy |
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|-----------------------|------------|
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| Clinical Knowledge | 70.57% |
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| Medical Genetics | 71.00% |
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| Human Aging | 69.06% |
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| Human Sexuality | 75.57% |
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| College Medicine | 63.01% |
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| Anatomy | 58.52% |
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| College Biology | 72.92% |
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| College Medicine | 63.01% |
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| High School Biology | 75.48% |
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| Professional Medicine | 65.44% |
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| Nutrition | 76.79% |
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| Professional Psychology | 65.35% |
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| Virology | 53.61% |
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Dr. Samantha performs reasonably well on various medical-related subjects, but it's important to note that medical diagnosis and treatment decisions often require a much higher level of accuracy, reliability, and context awareness.
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## 💻 Usage
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```python
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