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README.md
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---
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license:
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datasets:
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- FreedomIntelligence/ApolloMoEDataset
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language:
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metrics:
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- accuracy
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base_model:
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pipeline_tag: question-answering
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tags:
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- biology
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- medical
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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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![Apollo](assets/apollo_medium_final.png)
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## 🌈 Update
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<details>
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<summary>Click to view the Languages Coverage</summary>
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![ApolloMoE](assets/languages.png)
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</details>
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<details>
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<summary>Click to view the MoE routing image</summary>
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![ApolloMoE](assets/hybrid_routing.png)
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</details>
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<details>
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<summary>Click to view the Dense Models Results</summary>
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![ApolloMoE](assets/dense_results.png)
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</details>
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<details>
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<summary>Click to view the Post-MoE Models Results</summary>
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![ApolloMoE](assets/post_moe_results.png)
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</details>
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<details><summary>Click to expand</summary>
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![ApolloMoE](assets/Dataset.png)
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- [Data category](https://huggingface.co/datasets/FreedomIntelligence/ApolloCorpus/tree/main/train)
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license: gemma
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datasets:
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- FreedomIntelligence/ApolloMoEDataset
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language:
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metrics:
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- accuracy
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base_model:
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- FreedomIntelligence/Apollo2-9B
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pipeline_tag: question-answering
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tags:
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- biology
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- medical
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---
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# Apollo2-9B-exl2
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Original model: [Apollo2-9B](https://huggingface.co/FreedomIntelligence/Apollo2-9B)
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Made by: [FreedomIntelligence](https://huggingface.co/FreedomIntelligence)
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## Quants
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[4bpw h6 (main)](https://huggingface.co/cgus/Apollo2-9B-exl2/tree/main)
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[4.5bpw h6](https://huggingface.co/cgus/Apollo2-9B-exl2/tree/4.5bpw-h6)
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[5bpw h6](https://huggingface.co/cgus/Apollo2-9B-exl2/tree/5bpw-h6)
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[6bpw h6](https://huggingface.co/cgus/Apollo2-9B-exl2/tree/6bpw-h6)
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[8bpw h8](https://huggingface.co/cgus/Apollo2-9B-exl2/tree/8bpw-h8)
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## Quantization notes
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Made with Exllamav2 0.2.3 with the default dataset. This model needs software with Exllamav2 library such as Text-Generation-WebUI, TabbyAPI, etc.
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This model has to fit your GPU to be usable and it's mainly meant for RTX cards on Windows/Linux or AMD on Linux.
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For computers with incompatible hardware it's better to use GGUF versions of the model, you can find them [here](https://huggingface.co/models?other=base_model:quantized:FreedomIntelligence/Apollo2-9B).
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# Original model card
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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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![Apollo](https://huggingface.co/FreedomIntelligence/Apollo2-9B/blob/main/assets/apollo_medium_final.png)
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## 🌈 Update
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<details>
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<summary>Click to view the Languages Coverage</summary>
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![ApolloMoE](https://huggingface.co/FreedomIntelligence/Apollo2-9B/blob/main/assets/languages.png)
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</details>
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<details>
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<summary>Click to view the MoE routing image</summary>
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![ApolloMoE](https://huggingface.co/FreedomIntelligence/Apollo2-9B/blob/main/assets/hybrid_routing.png)
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</details>
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<details>
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<summary>Click to view the Dense Models Results</summary>
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![ApolloMoE](https://huggingface.co/FreedomIntelligence/Apollo2-9B/blob/main/assets/dense_results.png)
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</details>
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<details>
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<summary>Click to view the Post-MoE Models Results</summary>
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![ApolloMoE](https://huggingface.co/FreedomIntelligence/Apollo2-9B/blob/main/assets/post_moe_results.png)
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</details>
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<details><summary>Click to expand</summary>
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![ApolloMoE](https://huggingface.co/FreedomIntelligence/Apollo2-9B/blob/main/assets/Dataset.png)
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- [Data category](https://huggingface.co/datasets/FreedomIntelligence/ApolloCorpus/tree/main/train)
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