Paper β’ 2403.03640 β’ Published β’ 2
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
π Update
- [2024.03.07] Paper released.
- [2024.02.12] ApolloCorpus and XMedBench is publishedοΌπ
- [2024.01.23] Apollo repo is publishedοΌπ
Results
π€Apollo-0.5B β’ π€ Apollo-1.8B β’ π€ Apollo-2B β’ π€ Apollo-6B β’ π€ Apollo-7B
π€ Apollo-0.5B-GGUF β’ π€ Apollo-2B-GGUF β’ π€ Apollo-6B-GGUF β’ π€ Apollo-7B-GGUF
Dataset & Evaluation
Dataset π€ ApolloCorpus
Evaluation π€ XMedBench
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}
}
- Downloads last month
- 4
GGUF
Model size
6B params
Architecture
llama
Hardware compatibility
Log In to add your hardware
8-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. π Ask for provider support
