add slide and readme for infer #148
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qhzhuang
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Dec 18, 2025
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| # MindSpore Transformers & vLLM-MindSpore 插件式服务化部署与评测 | |||
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| # MindSpore Transformers & vLLM-MindSpore 插件式服务化部署与评测 | ||
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| ## 目录 | ||
| - [安装部署](#安装部署) |
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这里直接给个链接参考官网环境安装, 不在这里再维护一份了
| ais_bench/benchmark/configs/models/vllm_api/vllm_api_general_chat.py | ||
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| # 启动评测 | ||
| python run_benchmark.py --models vllm_api_general --datasets gsm8k_gen_0_shot_cot_str |
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这里的run_benchmark是在哪可以贴一下地址
| ### 精度评测 | ||
| ```bash | ||
| # 修改配置文件 | ||
| ais_bench/benchmark/configs/models/vllm_api/vllm_api_general_chat.py |
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qhzhuang
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Jan 6, 2026
| | 4 | xxx | xxx | [PPT](跳转链接) · [代码](跳转链接) · [视频](跳转链接) · [云沙箱实验](跳转链接) · [学习路径](跳转链接) | [中级认证入口](xxxx) | | ||
| | 1 | MindSpore Transformers基础 | 介绍MindSpore Transformers架构及基本使用。 | [PPT](#) · [代码](#) · [视频](#) · [云沙箱实验](#) · [学习路径](#) | | | ||
| | 2 | vLLM-MindSpore服务化部署 | 学习vLLM-MindSpore的安装、启动及参数配置。 | [PPT](#) · [代码](#) · [视频](https://www.bilibili.com/video/BV1Ys1aBxEFD/?share_source=copy_web&vd_source=fd4588b77d7b0209a532d9279088f606) · [云沙箱实验](#) · [学习路径](#) | [初级认证入口](#) | | ||
| | 3 | 大模型推理高级特性 | 深入理解Chunked Prefill、Prefix Caching等优化技术。 | [PPT](#) · [代码](#) · [视频](#) · [云沙箱实验](#) · [学习路径](#) | | |
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ppt 代码 云沙箱啥的，没有的是不是先不写了，就保留有的就好了。视频如果是共用的话可以改成一列
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| | 版本名 | Python | MindSpore | MindSpore NLP | | ||
| | :----- | :----- |:------ |:------ | | ||
| | master | xxx | xxx | xxx | | ||
| | r1.0 | xxx | xxx | xxx | | ||
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| | 3 | 大模型推理高级特性 | 深入理解Chunked Prefill、Prefix Caching等优化技术。 | [PPT](#) · [代码](#) · [视频](#) · [云沙箱实验](#) · [学习路径](#) | | | ||
| | 4 | 混合并行与量化推理 | 掌握混合并行部署及模型量化推理的最佳实践。 | [PPT](#) · [代码](#) · [视频](#) · [云沙箱实验](#) · [学习路径](#) | [中级认证入口](#) | | ||
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| # MindSpore Transformers & vLLM-MindSpore 插件式服务化部署与评测 |
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这里标题比较长，直接改成“服务化部署与评测指导”是不是好点
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