56 lines
1.4 KiB
Markdown
56 lines
1.4 KiB
Markdown
---
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inference: false
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license: mit
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license_link: https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE
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language:
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- en
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pipeline_tag: text-generation
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tags:
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- nlp
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- code
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- biology
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- medical
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---
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## Model Summary
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MedPhi-2 is a Phi-2, **2.7 billion** parameters, further trained for the biomedical domain.
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It was proposed in MedExQA paper.
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<h1> 🧑⚕️ MedExQA </h1>
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<h3> Medical Question Answering Benchmark with Multiple Explanations </h3>
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<p>
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📄 <a href="https://arxiv.org/abs/2406.06331" target="_blank">Paper</a> • ⏬ <a href="https://huggingface.co/datasets/bluesky333/MedExQA" target="_blank">Dataset</a> • ⚕️ <a href="https://huggingface.co/bluesky333/medphi2" target="_blank">MedPhi2</a><br>
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</p>
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Model type:** Clinical LLM (Large Language Model)
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- **Language(s) (NLP):** English
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- **License:** [MIT license](https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE)
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- **Finetuned from model [optional]:** Phi-2
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## Citation
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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```
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@article{kim2024medexqa,
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title={MedExQA: Medical Question Answering Benchmark with Multiple Explanations},
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author={Kim, Yunsoo and Wu, Jinge and Abdulle, Yusuf and Wu, Honghan},
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journal={arXiv e-prints},
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pages={arXiv--2406},
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year={2024}
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}
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```
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