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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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Oneplus 13 Updates

@OnePlus13Series · Post #341 · 11/13/2025, 03:50 PM

OnePlus 13 Specifications Codename: dodge cc: TechleaksZone • 6.82" (3168×1440 px) 2K+ BOE X2 LTPO AMOLED display • 1-120Hz variable refresh rate • 4500nits peak brightness • 2160Hz PWM Dimming • Dolby Vision; 1.07 billion colors • Crystal Shield glass protection • Snapdragon 8 Elite SoC • LPDDR5X RAM; UFS 4.0 storage • 9925mm² VC chamber • 50MP main (LYT-T 808, OIS) • 50MP Ultrawide (JN5); 2.5cm macro • 50MP 3X Telephoto (LYT-600; OIS) • 120X Digital Zoom; Hassleblad camera • 32MP Front camera • AAC CSA+ 0916 X-axis linear motor (volume 602mm³) • Goodix Ultrasonic fingerprint • IR Blaster; Alert Slider • Dust & water resistant (IP68 + IP69) • Stereo speakers, OReality & OHaptics • 6000mAh battery; USB-C 3.2 Gen 1 • 100W wired (Max 6.0A at 10V) + 50W wireless charging (Upto 18W PD - IN variant) •4 AndroidOS upgrades + 6yrs Security Patches. (Android 15 OOB) •Lifetime Display Warranty for greenline concerns (For India) @OnePlus13Series | @OnePlus13SeriesChatRoom #oneplus13#specs#oxygenos