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SecondNatureComputing
/
flash-attn-4-sm120

Kernels
attention
flash-attention
flash-attn-4
sm120
sm121
blackwell
rtx5090
rtx-pro-6000
dgx-spark
cute-dsl
Model card Files Files and versions
xet
Community

Instructions to use SecondNatureComputing/flash-attn-4-sm120 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Kernels

    How to use SecondNatureComputing/flash-attn-4-sm120 with Kernels:

    # !pip install kernels
    
    from kernels import get_kernel
    
    kernel = get_kernel("SecondNatureComputing/flash-attn-4-sm120")
  • Notebooks
  • Google Colab
  • Kaggle
flash-attn-4-sm120 / build /torch-cuda /__pycache__
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
blake-snc's picture
blake-snc
Restructure: build/torch-cuda/ layout with relative imports for self-contained kernels.get_kernel() use
02fc236 verified 3 months ago
  • __init__.cpython-313.pyc
    1.12 kB
    Restructure: build/torch-cuda/ layout with relative imports for self-contained kernels.get_kernel() use 3 months ago
  • interface.cpython-313.pyc
    81.2 kB
    Restructure: build/torch-cuda/ layout with relative imports for self-contained kernels.get_kernel() use 3 months ago