nicoboss / Apollo2-9B-llamacppfixed

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7-day runs: 1
30-day runs: 20
Model's Last Updated: October 17 2024
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Introduction of Apollo2-9B-llamacppfixed

Model Details of Apollo2-9B-llamacppfixed

Democratizing Medical LLMs For Much More Languages

Covering 12 Major Languages including English, Chinese, French, Hindi, Spanish, Arabic, Russian, Japanese, Korean, German, Italian, Portuguese and 38 Minor Languages So far.

📃 Paper • 🌐 Demo • 🤗 ApolloMoEDataset • 🤗 ApolloMoEBench • 🤗 Models •🌐 Apollo • 🌐 ApolloMoE

Apollo

🌈 Update
  • [2024.10.15] ApolloMoE repo is published!🎉
Languages Coverage

12 Major Languages and 38 Minor Languages

Click to view the Languages Coverage

ApolloMoE

Architecture
Click to view the MoE routing image

ApolloMoE

Results
Dense

🤗 Apollo2-0.5B • 🤗 Apollo2-1.5B • 🤗 Apollo2-2B

🤗 Apollo2-3.8B • 🤗 Apollo2-7B • 🤗 Apollo2-9B

Click to view the Dense Models Results

ApolloMoE

Post-MoE

🤗 Apollo-MoE-0.5B • 🤗 Apollo-MoE-1.5B • 🤗 Apollo-MoE-7B

Click to view the Post-MoE Models Results

ApolloMoE

Usage Format
Apollo2
  • 0.5B, 1.5B, 7B: User:{query}\nAssistant:{response}<|endoftext|>
  • 2B, 9B: User:{query}\nAssistant:{response}<eos>
  • 3.8B: <|user|>\n{query}<|end|><|assisitant|>\n{response}<|end|>
Apollo-MoE
  • 0.5B, 1.5B, 7B: User:{query}\nAssistant:{response}<|endoftext|>
Dataset & Evaluation
Results reproduction
Click to expand

We take Apollo2-7B or Apollo-MoE-0.5B as example

  1. Download Dataset for project:

    bash 0.download_data.sh  
    
  2. Prepare test and dev data for specific model:

    • Create test data for with special token
    bash 1.data_process_test&dev.sh
    
  3. Prepare train data for specific model (Create tokenized data in advance):

    • You can adjust data Training order and Training Epoch in this step
    bash 2.data_process_train.sh
    
  4. Train the model

    • If you want to train in Multi Nodes please refer to ./src/sft/training_config/zero_multi.yaml
    bash 3.single_node_train.sh
    
  5. Evaluate your model: Generate score for benchmark

    bash 4.eval.sh
    
Citation

Please use the following citation if you intend to use our dataset for training or evaluation:

@misc{zheng2024efficientlydemocratizingmedicalllms,
      title={Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts}, 
      author={Guorui Zheng and Xidong Wang and Juhao Liang and Nuo Chen and Yuping Zheng and Benyou Wang},
      year={2024},
      eprint={2410.10626},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2410.10626}, 
}

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Apollo2-9B-llamacppfixed install

Apollo2-9B-llamacppfixed is an open source model from GitHub that offers a free installation service, and any user can find Apollo2-9B-llamacppfixed on GitHub to install. At the same time, huggingface.co provides the effect of Apollo2-9B-llamacppfixed install, users can directly use Apollo2-9B-llamacppfixed installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Apollo2-9B-llamacppfixed install url in huggingface.co:

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