# mjun0812/flash-attention-prebuild-wheels

Provide with pre-build flash-attention 2 and 3 package wheels on Linux and Windows using GitHub Actions

Repository: https://github.com/mjun0812/flash-attention-prebuild-wheels
Canonical: https://ross.abutalabs.com/products/flash-attention-prebuild-wheels
Language: Python
License: BSD-3-Clause
License Family: permissive
Last push: 2026-08-26T01:28:39+00:00

## Health v2 (maintenance only)
Score: 83/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 83, longevity 48
- inputs: {"age_days": 676, "days_push": 8, "days_rel": 38, "gap_med": 3, "n_releases_24m": 88}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1706, forks 78 (observed 2026-08-28T04:05:24.924786+00:00)

## What it is
A repository that distributes pre-built flash-attention 2 and 3 wheel packages for Linux and Windows, built via GitHub Actions, AWS CodeBuild, and self-hosted runners. It saves users from the very long and resource-intensive process of compiling flash-attention themselves by providing wheels across many Python, CUDA, and PyTorch version combinations.

## Use cases
- install flash-attention without compiling it
- find a flash_attn wheel for my CUDA and PyTorch versions
- avoid long build times for flash-attention on Windows
- get prebuilt flash-attention wheels for Linux ARM64
- pip install flash_attn for Python 3.11 with CUDA 12.4
- set up flash-attention for transformer model training quickly

## When to choose
- you need flash-attention installed quickly without a lengthy local build
- your CUDA/PyTorch/Python combination is not officially distributed by flash-attention
- you are on Linux x86_64, Linux ARM64, or Windows with an NVIDIA GPU

## When to avoid
- you need flash-attention on macOS or CPU-only environments
- you require a custom flash-attention build with non-standard flags or patches
- you need a CUDA/PyTorch combination not covered by the published wheels

## Facets
- artifact type: dataset
- maturity: active
- function: machine-learning, gpu-computing, developer-tools
- domain: deep-learning, gpu-computing, developer-tools
- platform: windows, python
- tags: flash-attention, prebuilt-wheels, cuda, pytorch, wheel-distribution, transformers, linux, gpu

## Member repositories
- mjun0812/flash-attention-prebuild-wheels (main) score 83

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:24.924786+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:37:29.844940+00:00, confidence not recorded.
  - readme: https://github.com/mjun0812/flash-attention-prebuild-wheels (fetched 2026-08-28T04:05:24.924786+00:00, sha 45775e515908)
- Data as of 2026-08-30T08:39:29.467469+00:00.