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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 #852 · 01/13/2023, 08:45 PM

#MoeCloud#CA Host Provider: MoeCloud Location: Toronto, Canada Specification: 4vCore (EPYC 7413) | 30GB SSD | 20TB @ 1Gbps | ¥ 97.3 / Mo Looking glass: ca.to.global.lg.lite.moe 感谢商家提供的测试机。商家介绍这是一款主打建站的产品。电信联通回程绕美,移动有可能绕美有可能绕欧洲。流量耗尽后变为不限流量 10Mbps. 性能不错,就是没有防御。 https://paste.red/p/795686fe1d3b

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