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Source channel @githubtrending · Post #15141 · Sep 13

#python#large_language_models#machine_learning_systems#natural_language_processing Flash Linear Attention (FLA) is a fast, memory-efficient library for advanced linear attention models used in transformers, written in PyTorch and Triton, and compatible with NVIDIA, AMD, and Intel GPUs. It offers many state-of-the-art linear attention models and fused modules that speed up training and reduce memory use. You can easily replace standard attention layers in your models with FLA’s efficient versions, improving training and inference speed, especially for long sequences. FLA supports hybrid models mixing linear and standard attention, and integrates with Hugging Face Transformers for easy use and evaluation. This helps you train and run large language models faster and with less memory, making your AI projects more efficient and scalable. https://github.com/fla-org/flash-linear-attention

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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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