Omniracle

Qwen2是不是用chatGPT蒸馏的

关于你的主要问题“Qwen2是不是用chatGPT蒸馏的”,我们可以从以下几个方面进行分析:

  1. Qwen2的模型性能

    • Qwen2是一个大规模的开源模型,其性能超过了Llama3-70B和文心4.0等模型。这表明Qwen2在设计和训练上有其独特之处。
  2. 训练方法

    • Qwen2使用了Grouped-Query Attention(GQA)等技术来优化模型的性能,这与chatGPT的训练方法并不相同。GQA的使用显著提高了推理过程中的吞吐量。
  3. 模型架构

    • Qwen2系列模型包括多个不同规模的变体,如Qwen2-7B、Qwen2-72B等,且采用了Mixture of Experts(MoE)等先进技术。这些架构设计与chatGPT的架构有明显区别。
  4. 训练数据和过程

    • Qwen2的训练数据和过程是独立的,虽然可能会借鉴一些通用的深度学习技术,但并没有直接表明其是基于chatGPT的蒸馏过程。

综上所述,Qwen2并不是用chatGPT蒸馏的,而是一个独立开发的模型,采用了不同的技术和训练方法。

- RESOURCES -

Qwen2 技术报告(翻译)-CSDN博客

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阿里云发布全球最强开源模型Qwen2,性能超越众多中国闭源模型-潮起网

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只需 30 分钟,微调 Qwen2-7B,搭建专属 AI 客服解决方案_qwen2-7b微调-CSDN博客

文章浏览阅读1.4k次,点赞26次,收藏11次。LLaMA-Factory 在data文件夹中提供了多个训练数据集示例,支持alpaca或sharegpt格式,不过我这里使用的是自己提前导出来做过处理的自定义数据集。1. 自定义数据集选用alpaca2. 因为我只有标注后的问答对,所以只需要填充和output部分即可,下面是部分数据,保存为 bajigo.json,并上传到 LLaMA-Factory 的 data 目录下。_qwen2-7b微调......

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