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# Democratizing Medical LLMs For Much More Languages
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Covering 12 Major Languages including English, Chinese, French, Hindi, Spanish, Arabic, Russian, Japanese, Korean, German, Italian, Portuguese and 38 Minor Languages So far.
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<center>
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<p align="center">
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๐ <a href="https://arxiv.org/abs/2410.10626" target="_blank">Paper</a> โข ๐ <a href="" target="_blank">Demo</a> โข ๐ค <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloMoEDataset" target="_blank">ApolloMoEDataset</a> โข ๐ค <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloMoEBench" target="_blank">ApolloMoEBench</a> โข ๐ค <a href="https://huggingface.co/collections/FreedomIntelligence/apollomoe-and-apollo2-670ddebe3bb1ba1aebabbf2c" target="_blank">Models</a> โข ๐ <a href="https://github.com/FreedomIntelligence/
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</p>
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## ๐ Update
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* **[2024.10.15]** ApolloMoE repo is published๏ผ๐
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<details>
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<summary>Click to view the MoE routing image</summary>
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</details>
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๐ค <a href="https://huggingface.co/FreedomIntelligence/Apollo-MoE-0.5B" target="_blank">Apollo-MoE-0.5B</a> โข ๐ค <a href="https://huggingface.co/FreedomIntelligence/Apollo-MoE-1.5B" target="_blank">Apollo-MoE-1.5B</a> โข ๐ค <a href="https://huggingface.co/FreedomIntelligence/Apollo-MoE-7B" target="_blank">Apollo-MoE-7B</a>
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<details>
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<summary>Click to view the Post-MoE Models Results</summary>
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</details>
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## Usage Format
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- 0.5B, 1.5B, 7B: User:{query}\nAssistant:{response}<|endoftext|>
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- 2B, 9B: User:{query}\nAssistant:{response}\<eos\>
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- 3.8B: <|user|>\n{query}<|end|><|assisitant|>\n{response}<|end|>
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- 0.5B, 1.5B, 7B: User:{query}\nAssistant:{response}<|endoftext|>
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## Dataset & Evaluation
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- Dataset
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</details>
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- Evaluation
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๐ค <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloMoEBench" target="_blank">ApolloMoEBench</a>
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<details><summary>Click to expand</summary>
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- EN:
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- [MedQA-USMLE](https://huggingface.co/datasets/GBaker/MedQA-USMLE-4-options)
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- [MedMCQA](https://huggingface.co/datasets/medmcqa/viewer/default/test)
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- PT: [BioInstructQA](https://huggingface.co/datasets/BioMistral/BioInstructQA): Portuguese part
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- RU: [RuMedBench](https://github.com/sb-ai-lab/MedBench)
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</details>
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## Results reproduction
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<details><summary>Click to expand</summary>
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We take Apollo2-7B or Apollo-MoE-0.5B as example
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1. Download Dataset for project:
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# Democratizing Medical LLMs For Much More Languages
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Covering 12 Major Languages including English, Chinese, French, Hindi, Spanish, Arabic, Russian, Japanese, Korean, German, Italian, Portuguese and 38 Minor Languages So far.
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<p align="center">
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๐ <a href="https://arxiv.org/abs/2410.10626" target="_blank">Paper</a> โข ๐ <a href="" target="_blank">Demo</a> โข ๐ค <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloMoEDataset" target="_blank">ApolloMoEDataset</a> โข ๐ค <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloMoEBench" target="_blank">ApolloMoEBench</a> โข ๐ค <a href="https://huggingface.co/collections/FreedomIntelligence/apollomoe-and-apollo2-670ddebe3bb1ba1aebabbf2c" target="_blank">Models</a> โข๐ <a href="https://github.com/FreedomIntelligence/Apollo" target="_blank">Apollo</a> โข ๐ <a href="https://github.com/FreedomIntelligence/ApolloMoE" target="_blank">ApolloMoE</a>
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</p>
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## ๐ Update
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* **[2024.10.15]** ApolloMoE repo is published๏ผ๐
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<details>
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<summary>Click to view the MoE routing image</summary>
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</details>
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## Results
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#### Dense
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๐ค <a href="https://huggingface.co/FreedomIntelligence/Apollo2-0.5B" target="_blank">Apollo2-0.5B</a> โข ๐ค <a href="https://huggingface.co/FreedomIntelligence/Apollo2-1.5B" target="_blank">Apollo2-1.5B</a> โข ๐ค <a href="https://huggingface.co/FreedomIntelligence/Apollo2-2B" target="_blank">Apollo2-2B</a>
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๐ค <a href="https://huggingface.co/FreedomIntelligence/Apollo2-3.8B" target="_blank">Apollo2-3.8B</a> โข ๐ค <a href="https://huggingface.co/FreedomIntelligence/Apollo2-7B" target="_blank">Apollo2-7B</a> โข ๐ค <a href="https://huggingface.co/FreedomIntelligence/Apollo2-9B" target="_blank">Apollo2-9B</a>
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<details>
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<summary>Click to view the Dense Models Results</summary>
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</details>
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#### Post-MoE
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๐ค <a href="https://huggingface.co/FreedomIntelligence/Apollo-MoE-0.5B" target="_blank">Apollo-MoE-0.5B</a> โข ๐ค <a href="https://huggingface.co/FreedomIntelligence/Apollo-MoE-1.5B" target="_blank">Apollo-MoE-1.5B</a> โข ๐ค <a href="https://huggingface.co/FreedomIntelligence/Apollo-MoE-7B" target="_blank">Apollo-MoE-7B</a>
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<details>
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<summary>Click to view the Post-MoE Models Results</summary>
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</details>
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## Usage Format
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##### Apollo2
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- 0.5B, 1.5B, 7B: User:{query}\nAssistant:{response}<|endoftext|>
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- 2B, 9B: User:{query}\nAssistant:{response}\<eos\>
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- 3.8B: <|user|>\n{query}<|end|><|assisitant|>\n{response}<|end|>
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##### Apollo-MoE
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- 0.5B, 1.5B, 7B: User:{query}\nAssistant:{response}<|endoftext|>
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## Dataset & Evaluation
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- Dataset
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</details>
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- Evaluation
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๐ค <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloMoEBench" target="_blank">ApolloMoEBench</a>
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<details><summary>Click to expand</summary>
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- EN:
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- [MedQA-USMLE](https://huggingface.co/datasets/GBaker/MedQA-USMLE-4-options)
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- [MedMCQA](https://huggingface.co/datasets/medmcqa/viewer/default/test)
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- PT: [BioInstructQA](https://huggingface.co/datasets/BioMistral/BioInstructQA): Portuguese part
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- RU: [RuMedBench](https://github.com/sb-ai-lab/MedBench)
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</details>
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## Results reproduction
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<details><summary>Click to expand</summary>
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We take Apollo2-7B or Apollo-MoE-0.5B as example
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1. Download Dataset for project:
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