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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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@githubtrending · Post #14957 · 07/14/2025, 12:00 PM

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#cplusplus#android_auto#android_automotive#headunit#wireless_android_auto You can turn your car’s wired Android Auto into wireless using a Raspberry Pi and a special software called Wireless Android Auto Dongle. This DIY adapter connects your phone to the car wirelessly via Bluetooth and Wi-Fi, without needing extra apps on your phone. It works with several Raspberry Pi models and boots up quickly, connecting in under 30 seconds. After the first setup, it automatically connects every time you start your car, making your Android Auto experience seamless and cable-free. This saves you from plugging in your phone every time and keeps your car’s infotainment system working smoothly[1][2][3]. https://github.com/nisargjhaveri/WirelessAndroidAutoDongle

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