chinese-vicuna-7b是一个基于中文LLaMA模型和指令精调的Alpaca大模型的开源项目。该模型在原版Vicuna的基础上扩充了中文词表并使用了中文数据进行二次预训练,进一步提升了中文基础语义理解能力。与chinese-vicuna-13b相比,该模型的规模更小,但仍然具备优秀的语义理解能力。该项目的目的是促进大模型在中文NLP社区的开放研究,为构建透明且开放的学术研究提供支持。

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