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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 #718 · 02/05/2021, 09:51 AM

HostProvider: Hostsolutions (NVMe) Specification: 2Core E5-2680v4 | 2G DDR4 | 50G NVMe Network: 15T@1Gbps Test IP: 45.14.149.1 Price: €4.05 / Quarterly #RO#Hostsolutions#M247 https://paste.ubuntu.com/p/pYmjPncfbS/ 仅联通绕美,性能相比其他产品确实好得多。性价比非常高。