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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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ИХР РАН / ISC RAS

@isc_ras · Post #879 · 03/17/2023, 05:40 AM

На YouTube-канале Американского физического общества доступна запись замечательного вебинара Physical Review tutorial for authors: How to write a great scientific paper: https://www.youtube.com/watch?v=kUsSnsfDgfI Цитаты: "...the curse of knowledge..." "...There is no correlation between speaking English well and writing well..." "...Writing is storytelling..." "...Every paper tells (not more than) one story..." "...Find your own voice..." #webinar#APS

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