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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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The Ukrainian project “I Want to Live” has published a list of Uzbek citizens killed or missing while fighting for Russia in its war against Ukraine. The team identified 481 individuals but says the real number is likely much higher. https://yep.uz/en/2025/10/uzbek-citizens-killed-missing-russia-war-ukraine/ #xochujit#uzbekistan#russia#ukrainewar#russianarmy#mercenaries#centralasia#migrants#uzbeks#casualties#investigation#warinukraine

Ukrainadagi “Xochu jit” loyihasi Rossiyaning Ukrainaga qarshi urushi davomida halok bo‘lgan yoki bedarak yo‘qolgan o‘zbekistonliklarning ro‘yxatini e’lon qildi. Loyihaga ko‘ra, 481 nafar shaxs aniqlangan, ammo haqiqiy raqam bundan ancha yuqori bo‘lishi mumkin. https://yep.uz/uz/2025/10/ozbekistonliklar-rossiya-armiyasida-halok-bolganlar-royxati/ #xochujit#urush#rossiyaarmiyasi#o‘zbekistonliklar #ukraina#jangchilar#markaziyosiyo#migrantlar#halokbo‘lganlar #tadqiqot#rossiyavaurush#o‘zbekiston