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Source channel @githubtrending · Post #14974 · Jul 19

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#cplusplus ik_llama.cpp is an improved version of llama.cpp that runs faster on CPUs and hybrid GPU/CPU setups. It supports many new advanced quantization methods, which help models use less memory and run more efficiently. It also offers better performance for special models like DeepSeek and MoE, with faster prompt processing and token generation. You can run it on various hardware, including Android, and it has features to control where model data is stored (CPU or GPU). This means you get quicker AI responses and can handle bigger or more complex models smoothly on your computer or device[2][1][4]. https://github.com/ikawrakow/ik_llama.cpp

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Host Testing and evaluation

@HostEvaluate · Post #811 · 08/11/2022, 04:45 AM

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#SYM#TW Host Provider: SYM Specification: 1vCore | 1G RAM | 20G SSD | 20TB @ 300Mbps down; 100Mbps up | $ 18 / Mo (Promo code: 88-10-300M) 感谢商家提供的测试机。hinet vps, 月 50% SLA 保障。PayPal 和支付宝老用户审核才可使用。要实名. 更多折扣码 https://paste.red/p/0ead2349a779

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Host Testing and evaluation

@HostEvaluate · Post #746 · 01/25/2022, 03:45 PM

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#TW#SYM Host Provider: SYM Location: Kaohsiung, Taiwan Specification: 1vCore | 1G RAM | 30G Storage | Unlimited @ 100M up, 300M down | $15 / Month Test IP: Contact @wartw https://paste.ubuntu.com/p/xft3b5ypTm/ 硬盘应该是 HDD

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