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    7 repositories

    • SageAttention

      Public
      Quantized Attention achieves speedup of 2-5x and 3-11x compared to FlashAttention and xformers, without lossing end-to-end metrics across language, image, and v…
      Cuda
      •
      Apache License 2.0
      •527•3•0•0•Updated Aug 31, 2026Aug 31, 2026

    • SageAttention3-sparse

      Public
      [ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across la…
      Cuda
      •
      Apache License 2.0
      •527•2•0•0•Updated Jul 7, 2026Jul 7, 2026

    • SpargeAttn

      Public
      [ICML2025] SpargeAttention: A training-free sparse attention that accelerates any model inference.
      Cuda
      •
      Apache License 2.0
      •110•0•0•0•Updated Jun 10, 2026Jun 10, 2026

    • SpargeAttn-Fix

      Public
      [ICML2025] SpargeAttention: A training-free sparse attention that accelerates any model inference.
      Cuda
      •
      Apache License 2.0
      •110•0•0•0•Updated Jun 10, 2026Jun 10, 2026

    • q8_kernels

      Public
      Cuda
      •11•0•0•0•Updated May 22, 2026May 22, 2026

    • SageAttention-1104

      Public
      [ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across la…
      Cuda
      •
      Apache License 2.0
      •527•0•0•0•Updated Nov 6, 2025Nov 6, 2025

    • quant_horizon

      Public
      Cuda
      •
      Apache License 2.0
      •1•11•0•0•Updated Jan 10, 2025Jan 10, 2025
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