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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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@V1_BLOG · Post #1422 · 08/28/2019, 06:02 AM

测速机场: 次元链接 测速宽带: 广东移动200M 测速时间: 0827,11PM 官网: https://cylink.cf TG群: https://t.me/cylink 清晰测速图: https://v1blog.life/0827cylinkcm 测速By-V1测速组 #次元链接#cylink 好久没测帕西的了) 频道:@V1_BLOG 群组:@V1blog_group