Text Generation
Transformers
PyTorch
skywork_moe
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  <div align="center"><img src="misc/skywork_logo.jpeg" width="550"/></div>
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  <p align="center">
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- πŸ€— <a href="https://huggingface.co/Skywork" target="_blank">Hugging Face</a> β€’ πŸ€– <a href="https://modelscope.cn/organization/Skywork" target="_blank">ModelScope</a> β€’ πŸ‘Ύ <a href="https://wisemodel.cn/organization/Skywork" target="_blank">Wisemodel</a> β€’ πŸ’¬ <a href="https://github.com/SkyworkAI/Skywork/blob/main/misc/wechat.png?raw=true" target="_blank">WeChat</a>β€’ πŸ“œ<a href="http://arxiv.org/abs/2310.19341" target="_blank">Tech Report</a>
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  </p>
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  | | HuggingFace Model | ModelScope Model | Wisemodel Model |
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  |:-------:|:-----------:|:-----------------------------:|:-----------------------------:|
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- | **Skywork-MoE-base** | πŸ€— [Skywork-MoE-base](https://huggingface.co/Skywork/Skywork-MoE-base) | πŸ€–[Skywork-MoE-base](https://www.modelscope.cn/models/skywork/Skywork-MoE-base) | πŸ‘Ύ[Skywork-MoE-base](https://wisemodel.cn/models/Skywork/Skywork-MoE-base) |
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  # Benchmark Results
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  We evaluated Skywork-MoE-base model on various popular benchmarks, including C-Eval, MMLU, CMMLU, GSM8K, MATH and HumanEval.
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  ```
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  # Demonstration of vLLM Model Inference
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  <div align="center"><img src="misc/skywork_logo.jpeg" width="550"/></div>
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+ πŸ€— <a href="https://huggingface.co/Skywork" target="_blank">Hugging Face</a> β€’ πŸ€– <a href="https://modelscope.cn/organization/Skywork" target="_blank">ModelScope</a> β€’ πŸ‘Ύ <a href="https://wisemodel.cn/organization/Skywork" target="_blank">Wisemodel</a> β€’ πŸ’¬ <a href="https://github.com/SkyworkAI/Skywork/blob/main/misc/wechat.png?raw=true" target="_blank">WeChat</a>β€’ πŸ“œ<a href="https://github.com/SkyworkAI/Skywork-MoE/blob/main/skywork-moe-tech-report.pdf" target="_blank">Tech Report</a>
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  </p>
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  | | HuggingFace Model | ModelScope Model | Wisemodel Model |
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  |:-------:|:-----------:|:-----------------------------:|:-----------------------------:|
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+ | **Skywork-MoE-base** | πŸ€— [Skywork-MoE-base](https://github.com/SkyworkAI/Skywork-MoE) | πŸ€–[Skywork-MoE-base](https://www.modelscope.cn/models/skywork/Skywork-MoE-base) | πŸ‘Ύ[Skywork-MoE-base](https://wisemodel.cn/models/Skywork/Skywork-MoE-base) |
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+ | **Skywork-MoE-Base-FP8** | πŸ€— [Skywork-MoE-Base-FP8](https://github.com/SkyworkAI/Skywork-MoE) | πŸ€– | πŸ‘Ύ |
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  # Benchmark Results
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  We evaluated Skywork-MoE-base model on various popular benchmarks, including C-Eval, MMLU, CMMLU, GSM8K, MATH and HumanEval.
 
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  ```
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+ ## Chat Model Inference
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+ comming soon...
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  # Demonstration of vLLM Model Inference
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