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@WangZhuanZhan · Post #34946 · 11/05/2024, 07:06 AM
G-g归g来l- 归来 (2014) 直达链接：https://pan.quark.cn/s/7efb65a1cb21 #归来 #陆犯焉识 #Coming Home 链接：https://link3.cc/sf_com #电影#爱情#内地#10年代
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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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@wangzhuanzhan · Post #32506 · 09/07/2024, 06:30 AM
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@wangzhuanzhan · Post #32452 · 09/06/2024, 09:07 AM
M-m美m国g之z旅l- 美国之旅 Coming to America (1988) （普通话） 直达链接：https://pan.quark.cn/s/2e74de23a381 #美国之旅#Coming to America #王子寻妃记 #来去美国#纽约之恋 链接：https://link3.cc/sf_com #电影#喜剧#美国#80年代
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