---
license: apache-2.0
---
# Multilingual Medicine: Model, Dataset, Benchmark, Code
Covering English, Chinese, French, Hindi, Spanish, Hindi, Arabic So far
π¨π»βπ»Github β’π Paper β’ π Demo β’ π€ ApolloCorpus β’ π€ XMedBench
δΈζ | English
![Apollo](assets/apollo_medium_final.png)
## π Update
* **[2024.02.12]** ApolloCorpus and XMedBench is publishedοΌπ
* **[2024.01.23]** Apollo repo is publishedοΌπ
## Results
Apollo-0.5B β’ π€ Apollo-1.8B β’ π€ Apollo-2B β’ π€ Apollo-6B β’ π€ Apollo-7B
![Apollo](assets/result.png)
## Dataset & Evaluation
- Dataset
π€ ApolloCorpus
- Evaluation
π€ XMedBench
## Results reproduction
Click to expand
**Waiting for Update**
## Citation
Please use the following citation if you intend to use our dataset for training or evaluation:
```
@misc{wang2024apollo,
title={Apollo: Lightweight Multilingual Medical LLMs towards Democratizing Medical AI to 6B People},
author={Xidong Wang and Nuo Chen and Junyin Chen and Yan Hu and Yidong Wang and Xiangbo Wu and Anningzhe Gao and Xiang Wan and Haizhou Li and Benyou Wang},
year={2024},
eprint={2403.03640},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
@misc{Apollo,
title={Apollo, Multilingual Medicine: Model, Dataset, Benchmark, Code},
author={Xidong Wang, Junyin Chen, Nuo Chen, Yidong Wang, Zhiyi Zhang, Benyou Wang},
year = {2024},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/FreedomIntelligence/Apollo}},
}
```