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Source channel @githubtrending · Post #15263 · Nov 2

#python#deep_learning#inference#llm#nlp#pytorch#transformer Nano-vLLM is a small, fast, and easy-to-understand tool for running large language models offline. It matches the speed of bigger systems like vLLM but uses only about 1,200 lines of clean Python code, making it simple to read and modify. It includes smart features like prefix caching and tensor parallelism to boost performance. You can install it easily and run models like Qwen3-0.6B on your own GPU. This tool is great if you want fast, efficient AI inference without complex setups, ideal for learning, research, or small deployments on limited hardware. https://github.com/GeeeekExplorer/nano-vllm

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Oneplus 13 Updates

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

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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

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