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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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@dianjingtuijian01 · Post #9340 · 04/11/2026, 12:57 PM

CSGO -PGL 布加勒斯特 - 季后赛 #3DMAX 对战 TMZ BO3 2026-4-11 20:56 局2 获胜:TMZ 回合让分: TMZ-3.5(重心) 回合大小: 小于21.5 回合单双: 单

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@HBDJ168 · Post #866 · 07/24/2025, 03:56 PM

CSGO-IEM 科隆 #3DMAX 对战 NIP (BO3) 2025-07-24 23:30 局2 单局获胜: 3DMAX 回合让分: 3DMAX+2.5 回合大小: 大于21.5 (重心) 回合单双: 双

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@HBDJ168 · Post #864 · 07/24/2025, 02:50 PM

CSGO-IEM 科隆 #3DMAX 对战 NIP (BO3) 2025-07-24 23:30 局1 单局获胜: NIP 回合让分: NIP -2.5 (重心) 回合大小: 大于21.5 回合单双: 双

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@HBDJ168 · Post #695 · 07/16/2025, 10:23 AM

CSGO-FISSURE 游乐场 #3DMAX 对战 RA (BO3) 2025-07-16 17:00 局2 单局获胜: 3DMAX 回合让分: RA+4.5 回合大小: 大于21.5 回合单双: 双

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