--- license: apache-2.0 --- # Multilingual Medicine: Model, Dataset, Benchmark, Code Covering English, Chinese, French, Hindi, Spanish, Hindi, Arabic So far

πŸ‘¨πŸ»β€πŸ’»Github β€’πŸ“ƒ Paper β€’ 🌐 Demo β€’ πŸ€— ApolloCorpus β€’ πŸ€— XMedBench
δΈ­ζ–‡ | English

![Apollo](assets/apollo_medium_final.png) ## 🌈 Update * **[2024.02.12]** ApolloCorpus and XMedBench is publishedοΌπŸŽ‰ * **[2024.01.23]** Apollo repo is publishedοΌπŸŽ‰ ## Results Apollo-0.5B β€’ πŸ€— Apollo-1.8B β€’ πŸ€— Apollo-2B β€’ πŸ€— Apollo-6B β€’ πŸ€— Apollo-7B ![Apollo](assets/result.png) ## Dataset & Evaluation - Dataset πŸ€— ApolloCorpus - Evaluation πŸ€— XMedBench ## Results reproduction
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## 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}}, } ```