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- 👨‍💻 <a href="https://github.com/SkyworkAI/Skywork" target="_blank">Github</a> • 🤗 <a href="https://huggingface.co/Skywork" target="_blank">Hugging Face</a>• 🤖 <a href="https://modelscope.cn/organization/Skywork" target="_blank">ModelScope</a> • 💬 <a href="https://github.com/SkyworkAI/Skywork/blob/main/misc/wechat.png?raw=true" target="_blank">WeChat</a>• 📜<a href="https://arxiv.org/" target="_blank">Tech Report</a>
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  **Skywork-13B-Base-8bits** is a quantizated model of **Skywork-13B-Base**, to support deployment and inference on consumer-grade GPUs.
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- 如果您希望了解更多的信息,如训练方案,评估方法,请参考我们的[技术报告](https://arxiv.org/skywork-tech-report),[Skymath](https://arxiv.org/abs/2310.16713)论文,[SkyworkMM](https://github.com/will-singularity/Skywork-MM/blob/main/skywork_mm.pdf)论文。
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- If you are interested in more training and evaluation details, please refer to our [technical report](https://arxiv.org/skywork-tech-report), [Skymath]((https://arxiv.org/skywork-tech-report)) paper and [SkyworkMM](https://github.com/will-singularity/Skywork-MM/blob/main/skywork_mm.pdf) paper.
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  ## 训练数据(Training Data)
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  我们精心搭建了数据清洗流程对文本中的低质量数据、有害信息、敏感信息进行清洗过滤。我们的Skywork-13B-Base模型是在清洗后的3.2TB高质量中、英、代码数据上进行训练,其中英文占比52.2%,中文占比39.6%,代码占比8%,在兼顾中文和英文上的表现的同时,代码能力也能有保证。
 
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+ 👨‍💻 <a href="https://github.com/SkyworkAI/Skywork" target="_blank">Github</a> • 🤗 <a href="https://huggingface.co/Skywork" target="_blank">Hugging Face</a>• 🤖 <a href="https://modelscope.cn/organization/Skywork" target="_blank">ModelScope</a> • 💬 <a href="https://github.com/SkyworkAI/Skywork/blob/main/misc/wechat.png?raw=true" target="_blank">WeChat</a>• 📜<a href="http://arxiv.org/abs/2310.19341" target="_blank">Tech Report</a>
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  </p>
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  **Skywork-13B-Base-8bits** is a quantizated model of **Skywork-13B-Base**, to support deployment and inference on consumer-grade GPUs.
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+ 如果您希望了解更多的信息,如训练方案,评估方法,请参考我们的[技术报告](http://arxiv.org/abs/2310.19341),[Skymath](https://arxiv.org/abs/2310.16713)论文,[SkyworkMM](https://github.com/will-singularity/Skywork-MM/blob/main/skywork_mm.pdf)论文。
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+ If you are interested in more training and evaluation details, please refer to our [technical report](http://arxiv.org/abs/2310.19341), [Skymath]((https://arxiv.org/skywork-tech-report)) paper and [SkyworkMM](https://github.com/will-singularity/Skywork-MM/blob/main/skywork_mm.pdf) paper.
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  ## 训练数据(Training Data)
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  我们精心搭建了数据清洗流程对文本中的低质量数据、有害信息、敏感信息进行清洗过滤。我们的Skywork-13B-Base模型是在清洗后的3.2TB高质量中、英、代码数据上进行训练,其中英文占比52.2%,中文占比39.6%,代码占比8%,在兼顾中文和英文上的表现的同时,代码能力也能有保证。