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README.md
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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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📃 <a href="https://arxiv.org/abs/2410.10626" target="_blank">Paper</a> • 🌐 <a href="" target="_blank">Demo</a> • 🤗 <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloMoEDataset" target="_blank">ApolloMoEDataset</a> • 🤗 <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloMoEBench" target="_blank">ApolloMoEBench</a> • 🤗 <a href="https://huggingface.co/collections/FreedomIntelligence/apollomoe-and-apollo2-670ddebe3bb1ba1aebabbf2c" target="_blank">Models</a> • 🌐 <a href="https://github.com/FreedomIntelligence/Apollo" target="_blank">Apollo</a>
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</p>
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## 🌈 Update
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* **[2024.10.15]** ApolloMoE repo is published!🎉
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## Architecture
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<details>
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</details>
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## Usage Format
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#### Apollo2
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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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- RU: [RuMedBench](https://github.com/sb-ai-lab/MedBench)
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</details>
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<details><summary>Click to expand</summary>
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We take
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1. Download Dataset for project:
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```
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bash 0.download_data.sh
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```
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2. Prepare test and dev for specific model:
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- Create test data for with special token
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```
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bash 1.data_process_test&dev.sh
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4. Train the model
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- If you want to train in Multi Nodes please refer to ./
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```
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bash 3.
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```
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bash 4.eval.sh
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```
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6. Evaluate your model: Play with your ckpts in bash
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```
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python ./src/evaluate/cli_demo.py --model_name='./ckpts/your/path/tfmr'
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```
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</details>
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- no
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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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📃 <a href="https://arxiv.org/abs/2410.10626" target="_blank">Paper</a> • 🌐 <a href="" target="_blank">Demo</a> • 🤗 <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloMoEDataset" target="_blank">ApolloMoEDataset</a> • 🤗 <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloMoEBench" target="_blank">ApolloMoEBench</a> • 🤗 <a href="https://huggingface.co/collections/FreedomIntelligence/apollomoe-and-apollo2-670ddebe3bb1ba1aebabbf2c" target="_blank">Models</a> • 🌐 <a href="https://github.com/FreedomIntelligence/Apollo" target="_blank">Apollo</a>
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</p>
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## 🌈 Update
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* **[2024.10.15]** ApolloMoE repo is published!🎉
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## Languages Coverage
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12 Major Languages and 38 Minor Languages
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<details>
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<summary>Click to view the Languages Coverage</summary>
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</details>
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## Architecture
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<details>
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</details>
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## Usage Format
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#### Apollo2
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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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- RU: [RuMedBench](https://github.com/sb-ai-lab/MedBench)
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</details>
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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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```
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bash 0.download_data.sh
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```
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2. Prepare test and dev data for specific model:
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- Create test data for with special token
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```
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bash 1.data_process_test&dev.sh
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4. Train the model
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- If you want to train in Multi Nodes please refer to ./src/sft/training_config/zero_multi.yaml
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```
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bash 3.single_node_train.sh
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```
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bash 4.eval.sh
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```
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</details>
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