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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 : Zjt_Tete

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

    Quantized Attention that achieves speedups of 2.1-3.1x and 2.7-5.1x compared to FlashAttention2 and xformers, respectively, without lossing end-to-end metrics across various models.

    Cuda 1.1k 65

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

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

    Cuda 246 8