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Source channel @githubtrending · Post #14747 · May 25

#python#deep_learning#intel#machine_learning#neural_network#pytorch#quantization Intel Extension for PyTorch boosts the speed of PyTorch on Intel hardware, including both CPUs and GPUs, by using special features like AVX-512, AMX, and XMX for faster calculations[5][2][4]. It supports many popular large language models (LLMs) such as Llama, Qwen, Phi, and DeepSeek, offering optimizations for different data types and easy GPU acceleration. This means you can run advanced AI models much faster and more efficiently on your Intel computer, with simple setup and support for both ready-made and custom models. https://github.com/intel/intel-extension-for-pytorch

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@storage_qi · Post #764 · 02/07/2024, 05:45 PM

#Clash#ClashMeta#WebUI#metacubexd#Yacd GH 页面自定义域:http://d.metacubex.one GH 页面:https://metacubex.github.io/metacubexd Cloudflare 页面:https://metacubexd.pages.dev 省流(个人认为体验优于Yacd): - 在Connections的功能相当丰富,功能体验最优(无法全部显示时,Shift+滚轮 可以横向滚动) - Proxies界面节点延迟可视化显示 - 还有一些其他Web UI所没有的功能 来源(ClashMeta官方支持)