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b83e1b704e
Add self-contained requirements for cuda 11.8 and ROCm Signed-off-by: kingbri <bdashore3@proton.me>
23 lines
1.2 KiB
Plaintext
23 lines
1.2 KiB
Plaintext
# Torch
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torch --index-url https://download.pytorch.org/whl/cu118
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# Exllamav2
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# Windows
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https://github.com/turboderp/exllamav2/releases/download/v0.0.10/exllamav2-0.0.10+cu118-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11"
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https://github.com/turboderp/exllamav2/releases/download/v0.0.10/exllamav2-0.0.10+cu118-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10"
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# Linux
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https://github.com/turboderp/exllamav2/releases/download/v0.0.10/exllamav2-0.0.10+cu118-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"
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https://github.com/turboderp/exllamav2/releases/download/v0.0.10/exllamav2-0.0.10+cu118-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
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# Pip dependencies
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fastapi
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pydantic < 2,>= 1
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PyYAML
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progress
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uvicorn
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# Linux FA2 from https://github.com/Dao-AILab/flash-attention/releases
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https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.6/flash_attn-2.3.6+cu118torch2.1cxx11abiFALSE-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
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