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Source channel @githubtrending · Post #14974 · Jul 19

#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 #785 · 06/09/2022, 02:54 PM

#LightNode#JP#HND HostProvider: LightNode Location: Tokyo, Japan Specification: 1vCore (AMD 3900X) | 2GB RAM | 50GB Disk | 1000GB @ 100Mbps | $7.71 / Month Looking glass: www.lightnode.com/en-US/speed/jp-tokyo-1?id=36 面板的英文写的挺感人的。系统可以选 Windows 不额外加钱。联通电信回程 TATA 绕美,移动 bbtec 直连 / pccw 绕香港. https://paste.red/p/8e0ba6a6ab34