Skip to content

Consider using pre-built Flash Attention kernels via kernels #319

Open

Description

@sayakpaul

Hey,

I am Sayak from the Kernels team at Hugging Face. I noticed that this project uses Flash Attention which includes a long build time. We ship pre-built binaries (which provide bit-exact outputs as the upstream) and thereby, we make it easy to use.

Using FA3 on a supported machine is as easy as:

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

kernel_module = get_kernel("kernels-community/flash-attn3")
flash_attn_func = kernel_module.flash_attn_func

flash_attn_func(...)

Let us know if you'd be interested in this and and we'd be happy to provide a draft of how it would look in your repo.

Activity

  1. ik020 commented on Sep 5, 2026

    @ik020

    Hey,

    I am Sayak from the Kernels team at Hugging Face. I noticed that this project uses Flash Attention which includes a long build time. We ship pre-built binaries (which provide bit-exact outputs as the upstream) and thereby, we make it easy to use.

    Using FA3 on a supported machine is as easy as:

    make sure kernels is installed: pip install -U kernels

    from kernels import get_kernel

    kernel_module = get_kernel("kernels-community/flash-attn3")
    flash_attn_func = kernel_module.flash_attn_func

    flash_attn_func(...)
    Let us know if you'd be interested in this and and we'd be happy to provide a draft of how it would look in your repo.

    Hi @sayakpaul, thanks for the suggestion! I'd like to work on integrating this. I'll test it with kernels-community/flash-attn2 on a T4 GPU(if possible), verify the outputs match the current implementation, and benchmark the build/import time difference. I'll open a PR once I have results, let me know if there's a specific model file/module you'd point me to first, or if I should start with the main attention implementation in the multi-modality module.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

      Milestone

      No milestone

      Relationships

      None yet

      Development

      No branches or pull requests

      Issue actions