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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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Talabalarimiz "CanSat Uzbekistan - 2025" musobaqasida g'olib bo'lishdi 💥 "O'zbekkosmos" agentligi tashabbusi bilan o'tkazilgan CanSat musobaqasida 250 nafarga yaqin o'quvchi va talabalardan iborat 10 ta jamoa o'zlarining mikrosputniklarini balandlikka uchirdi. ✅ Kichik sputniklar havo harorati, masofa va bosim kabi ma'lumotlarni talabalar o'zlari ishlab chiqqan dasturga yubordi. ✨ Talabalarimiz yaratgan CanSat qurilmasi boshqalardan bir qancha tomonlama mukammalligi e'tirof etilib, musobaqa tashkilotchilari tomonidan faxrli 1-o'ringa munosib ko'rildi. ⚡️Talabalarimizni ushbu yutuq bilan tabriklaymiz va xalqara miqyosda o'tkazilishi rejalashtirilgan CanSat musobaqasida ham g'alaba qozonishlariga ishonamiz. 🔁English ➖➖➖➖➖➖➖➖➖➖ #CanSat#musobaqa ⬇️ Biz ijtimoiy tarmoqlarda: Veb-sayt | Telegram | Instagram | Facebook

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@githubtrending · Post #14878 · 06/28/2025, 02:00 PM

#cplusplus#arduino#cansat#csv#embedded#graph#ground_station#iot#microcontroller#network#projects#qt#serial#serial_studio Serial Studio is a free, easy-to-use tool that lets you visualize real-time data from devices like microcontrollers via serial ports, Bluetooth, or network connections. It works on Windows, macOS, and Linux, and offers customizable dashboards with various widgets to monitor sensor data, debug info, or telemetry. You can quickly plot data, export it as CSV for analysis, and even use advanced features like checksum validation and JavaScript data processing. It supports hobbyists, educators, and professionals by simplifying data monitoring and debugging, saving you time and effort in understanding your device’s output. Pro versions add commercial use and extra features[1][4][5]. https://github.com/Serial-Studio/Serial-Studio