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URL: https://huggingface.co/FreedomIntelligence/Apollo-7B

⇱ FreedomIntelligence/Apollo-7B Β· Hugging Face


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

πŸ‘ Apollo

🌈 Update

  • [2024.04.25] MedJamba released, train and evaluation code refer to repo.
  • [2024.03.07] Paper released.
  • [2024.02.12] ApolloCorpus and XMedBench is publishedοΌπŸŽ‰
  • [2024.01.23] Apollo repo is publishedοΌπŸŽ‰

Results

πŸ€— Apollo-0.5B β€’ πŸ€— Apollo-1.8B β€’ πŸ€— Apollo-2B β€’ πŸ€— Apollo-6B β€’ πŸ€— Apollo-7B β€’ πŸ€— Apollo-34B β€’ πŸ€— Apollo-72B

πŸ€— MedJamba

πŸ€— Apollo-0.5B-GGUF β€’ πŸ€— Apollo-2B-GGUF β€’ πŸ€— Apollo-6B-GGUF β€’ πŸ€— Apollo-7B-GGUF

πŸ‘ Apollo

Usage Format

User:{query}\nAssistant:{response}<|endoftext|>

Dataset & Evaluation

Results reproduction

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}
}
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