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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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KIUT | Namangan rasmiy

@kiut_nm · Post #5409 · 01/31/2026, 10:29 AM

🇺🇸🤝🇺🇿 At the initiative of the Vice-Rector for International Cooperation of Kimyo International University in Tashkent, Mr. Rod Clark, an event was held in cooperation with representatives of the U.S. organization OSAC, focusing on one of the issues that is becoming increasingly relevant today — artificial intelligence and cybersecurity. The event brought together representatives of various U.S. companies and organizations operating in Tashkent, who shared their practical experience in implementing modern technologies, ensuring digital security, and current developments in these fields. 🇺🇿🇬🇧🇷🇺: www.kiut.uz #KIUT #OSAC #ArtificialIntelligence