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kernels-community/sage-attention

sourceHugging Faceapache-2.0updated 21d agoView on Hugging Face
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Model Card
[!CAUTION] Starting from September 13, 2026, we will be removing the "model" type repositories of kernels (e.g., kernels-community/flash-attn3). Make sure you're using a latest version of kernels. If you face any disruption, please report them here: https://github.com/huggingface/kernels/issues/new.

This is the repository card of kernels-community/sage-attention that has been pushed on the Hub. It was built to be used with the `kernels` library. This card was automatically generated.

How to use

python
# make sure `kernels` is installed: `pip install -U kernels`
from kernels import get_kernel

kernel_module = get_kernel("kernels-community/sage-attention")
per_block_int8 = kernel_module.per_block_int8

per_block_int8(...)

Available functions

  • per_block_int8
  • per_warp_int8
  • sub_mean
  • per_channel_fp8
  • sageattn
  • sageattn3_blackwell

Benchmarks

Benchmarking script is available for this kernel. Run kernels benchmark kernels-community/sage-attention.