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Achievement: Pull SharkAchievement: Starstruckx3Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

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jt-zhang/README.md

Hi 😊

I am a first-year PhD student in the CS Dept. at Tsinghua University, focusing on efficient training and inference of large models.

  • WeChat WeChat ID : Zjt_Tete

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  1. thu-ml/SageAttention thu-ml/SageAttention Public

    Quantized Attention achieves speedup of 2-3x and 3-5x compared to FlashAttention and xformers, without lossing end-to-end metrics across language, image, and video models.

    Cuda 1.4k 95

  2. thu-ml/SpargeAttn thu-ml/SpargeAttn Public

    SpargeAttention: A training-free sparse attention that can accelerate any model inference.

    Cuda 468 29