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  ## 介绍 (Introduction)
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- **Chuxin-1.6B-Base**是太初研发的16亿参数规模的模型。Chuxin-1.6B完全基于开源数据构建,在经过超大规模数据训练后,Chuxin-1.6B在各类下游任务上具有非常的竞争力。
 
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  **Chuxin-1.6B-1M**是基于Chuxin-1.6B模型在1M窗口下训练后的结果,大海捞针实验显示其具有非常强的上下文检索能力。
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  如果您想了解更多关于Chuxin-1.6B开源模型的细节,我们建议您参阅我们的技术报告[Arxiv](https://xxxx)
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- **Chuxin-1.6B-Base** is a model with 1.6 billion parameters developed by Taichu. Chuxin-1.6B is built entirely on open-source data. After being trained with large-scale data, Chuxin has very competitive capabilities in various downstream tasks.
 
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  **Chuxin-1.6B-1M** is the result of training the Chuxin-1.6B model with a 1M windows. Experiments such as searching for a needle in a haystack demonstrate its strong contextual retrieval abilities.
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  If you would like to learn more about the Chuxin-1.6B open-source model, we suggest you refer to our technical report on [Arxiv](https://xxxx).
 
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  ## 介绍 (Introduction)
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+ **Chuxin-1.6B-Base**是16亿参数规模的模型。Chuxin-1.6B完全基于开源数据构建,在经过超大规模数据训练后,Chuxin-1.6B在各类下游任务上具有非常的竞争力。
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  **Chuxin-1.6B-1M**是基于Chuxin-1.6B模型在1M窗口下训练后的结果,大海捞针实验显示其具有非常强的上下文检索能力。
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  如果您想了解更多关于Chuxin-1.6B开源模型的细节,我们建议您参阅我们的技术报告[Arxiv](https://xxxx)
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+ **Chuxin-1.6B-Base** is a model with 1.6 billion parameters. Chuxin-1.6B is built entirely on open-source data. After being trained with large-scale data, Chuxin has very competitive capabilities in various downstream tasks.
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  **Chuxin-1.6B-1M** is the result of training the Chuxin-1.6B model with a 1M windows. Experiments such as searching for a needle in a haystack demonstrate its strong contextual retrieval abilities.
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  If you would like to learn more about the Chuxin-1.6B open-source model, we suggest you refer to our technical report on [Arxiv](https://xxxx).