bibimbap/Qwen-7B-Chat-Int4

Qwen-7B 🤖 | 🤗&nbsp ｜ Qwen-7B-Chat 🤖 | 🤗&nbsp | Qwen-7B-Chat-Int4 🤗 WeChat&nbsp&nbsp | &nbsp&nbspDiscord&nbsp&nbsp | &nbsp&nbspDemo&nbsp ｜ &nbspReport 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。本仓库为Qwen-7B-Chat的Int4量化模型的仓库。 Qwen-7B is the 7B-parameter version of the large language model series, Qwen (abbr. Tongyi Qianwen), proposed by Aibaba 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. This repository is the one for the Int4 quantized model of Qwen-7B-Chat. For more details about the open-source model of Qwen-7B, please refer to the Github code repository. python 3.8及以上版本 pytorch 2.0及以上版本，推荐2.0及以上版本 建议使用CUDA 11.4及以上（GPU用户、flash-attention用户等需考虑此选项） python 3.8 and above pytorch 2.0 and above, 2.0 and above are recommended CUDA 11.4 and above are recommended (this is for GPU users, flash-attention…

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Автор: bibimbap
Теги: qwen, custom_code, zh, en, 4-bit, gptq
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