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