Qwen 7B Chat 🤗 Hugging Face      🤖 ModelScope       📑 Paper    ｜   🖥️ Demo WeChat (微信)       Discord    ｜    API 介绍（Introduction） 通义千问 7B（Qwen 7B） 是阿里云研发的通义千问大模型系列的70亿参数规模的模型。Qwen 7B是基于Transformer的大语言模型, 在超大规模的预训练数据上进行训练得到。预训练数据类型多样，覆盖广泛，包括大量网络文本、专业书籍、代码等。同时，在Qwen 7B的基础上，我们使用对齐机制打造了基于大语言模型的AI助手Qwen 7B Chat。相较于最初开源的Qwen 7B模型，我们现已将预训练模型和Chat模型更新到效果更优的版本。本仓库为Qwen 7B Chat的仓库。 如果您想了解更多关于通义千问 7B开源模型的细节，我们建议您参阅GitHub代码库。 Qwen 7B is the 7B parameter version of the large language model series, Qwen (abbr. Tongyi Qianwen), proposed by Alibaba Cloud. Qwen 7B is a Transformer based large language model, which is pretrained on a large volume of data, including web texts, books, codes, etc. Additionally, based on the pretrained Qwen 7B, we release Qwen 7B Chat, a large model based AI assistant, which is trained with alignment techniques. Now we have updated both our pretrained and chat models with better performances. This repository is the one for Qwen 7B Chat. For more details about Qwen, please refer to the GitHub code repository. 要求（Requirements） python 3.8及以上版本 pytorch 1.12及以上版本，推荐2.0及以上版本 建议使用CUDA 11.4及以上（G…
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