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**Skywork-13B-Base**: The model was trained on a high-quality cleaned dataset consisting of 3.2 trillion multilingual data (mainly Chinese and English) and code. It has demonstrated the best performance among models of similar scale in various evaluations and benchmark tests.
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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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**Skywork-13B-Base**: The model was trained on a high-quality cleaned dataset consisting of 3.2 trillion multilingual data (mainly Chinese and English) and code. It has demonstrated the best performance among models of similar scale in various evaluations and benchmark tests.
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**Skywork-13B-Base-8bits**模型为**Skywork-13B-Base**的8bits量化版,支持用户在消费级显卡上进行进行部署和推理。
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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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