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README.md
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# Prebuild wheels for popular packages with support for nvidia blackwell RTX gpus.
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**Used with Torch 2.7 nightly cu128**
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# Flash attention 2.7.1.post1
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[Linux/python3.12](https://huggingface.co/Minthy/torch_2.7_dev_cu128_buildings/blob/main/flash_attn-2.7.4.post1-cp312-cp312-linux_x86_64.whl)
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[Windows/python 3.10](https://huggingface.co/Minthy/torch_2.7_dev_cu128_buildings/blob/main/flash_attn-2.7.4.post1-cp310-cp310-win_amd64.whl)
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# Xformers 0.0.30
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[Linux/python 3.12](https://huggingface.co/Minthy/torch_2.7_dev_cu128_buildings/blob/main/xformers-0.0.30%2B52f96c05.d20250313-cp312-cp312-linux_x86_64.whl) **(compatible with latest triton and distributed training)**
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[Windows/python 3.10](https://huggingface.co/Minthy/torch_2.7_dev_cu128_buildings/blob/main/xformers-0.0.30%
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# Triton 3.3.0
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[Linux/python 3.12](https://huggingface.co/Minthy/torch_2.7_dev_cu128_buildings/blob/main/triton-3.3.0%2Bgit1c5ea229-cp312-cp312-linux_x86_64.whl) **(works fine with newest nccl library with blackwell patch for distributed training)**
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# NCCL fix for low ram rigs
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# Prebuild wheels for popular packages with support for nvidia blackwell RTX gpus.
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**Used with Torch 2.7/2.8 nightly cu128**
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# Flash attention 2.7.1.post1
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[Linux/python3.12/pytorch2.7](https://huggingface.co/Minthy/torch_2.7_dev_cu128_buildings/blob/main/flash_attn-2.7.4.post1-cp312-cp312-linux_x86_64.whl)
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[Windows/python 3.10/pytorch2.8](https://huggingface.co/Minthy/torch_2.7_dev_cu128_buildings/blob/main/flash_attn-2.7.4.post1-cp310-cp310-win_amd64.whl)
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# Xformers 0.0.30
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[Linux/python 3.12/pytorch2.7](https://huggingface.co/Minthy/torch_2.7_dev_cu128_buildings/blob/main/xformers-0.0.30%2B52f96c05.d20250313-cp312-cp312-linux_x86_64.whl) **(compatible with latest triton and distributed training)**
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[Windows/python 3.10/pytorch2.8](https://huggingface.co/Minthy/torch_2.7_dev_cu128_buildings/blob/main/xformers-0.0.30%2B9a2cd3ef.d20250324-cp310-cp310-win_amd64.whl)
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# Triton 3.3.0
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[Linux/python 3.12/pytorch2.7](https://huggingface.co/Minthy/torch_2.7_dev_cu128_buildings/blob/main/triton-3.3.0%2Bgit1c5ea229-cp312-cp312-linux_x86_64.whl) **(works fine with newest nccl library with blackwell patch for distributed training)**
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# NCCL fix for low ram rigs
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