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Commit fd1124b0 authored by Rayyyyy's avatar Rayyyyy
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Update README

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README.md
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......@@ -9,6 +9,11 @@ Llama-3中选择了一个相对标准的decoder-only的transformer架构。与Ll
- 采用分组查询注意力（grouped query attention，GQA）、掩码等技术，帮助开发者以最低的能耗获取绝佳的性能。
- 在8,192个tokens的序列上训练模型，使用掩码来确保self-attention不会跨越文档边界。
## 算法原理
<div align=center>
<img src="./doc/method.png"/>
</div>
## 环境配置
-v 路径、docker_name和imageID根据实际情况修改
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