基于MultiDevices库实现快速调用多个计算设备进行推理 #732
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基于MultiDevices库实现快速调用多个计算设备（CPU，GPU）在低配置情况下进行推理。6G显存+16G内存即可运行int8的模型。
Add MultiDevices 库，作者 @ChaimEvans
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这个和GLM_MNN的区别是什么？速度上所多少token/s？ |
mnn没用过，win编译太难搞，这个好部署 |
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基于MultiDevices库实现快速调用多个计算设备（CPU，GPU）在低配置情况下进行推理。6G显存+16G内存即可运行int8的模型。
https://github.com/ChaimEvans/ChatGLM_MultiGPUCPU_eval