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README.md

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 # Flash-Attention 2.7.4 Prebuilt Wheels for NVIDIA Blackwell (cu128) on Windows
 
-This repository provides prebuilt wheels for **Flash-Attention 2.7.4** optimized for NVIDIA Blackwell GPUs (cu128) on Windows systems. These wheels are compatible with Python 3.10 and 3.11, enabling seamless integration for high-performance attention mechanisms in deep learning workflows.
+This repository provides prebuilt wheels for **Flash-Attention 2.7.4** optimized for NVIDIA Blackwell GPUs (cu128 and cu129) on Windows systems.
+These wheels are compatible with Python 3.10 and 3.11, enabling seamless integration for high-performance attention mechanisms in deep learning workflows.
 
 ## Available Wheels
-- `flash_attn-2.7.4.post1-cp310-cp310-win_amd64.whl` (Python 3.10)
-- `flash_attn-2.7.4.post1-cp311-cp311-win_amd64.whl` (Python 3.11)
+- `flash_attn-2.7.4.post1-cp310-cp310-win_amd64.whl` (Python 3.10) * pytorch 2.7 cu128
+- `flash_attn-2.7.4.post1-cp311-cp311-win_amd64.whl` (Python 3.11) * pytorch 2.7 cu128
+
+- `flash_attn-2.7.4.post1-cp310-cp310-win_amd64.whl` (Python 3.10) * pytorch 2.8 cu129
 
 ## Compatibility
 The prebuilt wheels are designed for NVIDIA Blackwell GPUs but have been tested and confirmed compatible with previous-generation NVIDIA GPUs, including: