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For CUDA systems, ensure your hardware meets the following requirements:
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@@ -88,17 +88,7 @@ For example, to install a compiler and CMake on Ubuntu:
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apt-get install -y build-essential cmake
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```
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You should also install CUDA Toolkit by following the [NVIDIA CUDA Installation Guide for Linux](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html) guide from NVIDIA. The current expected CUDA Toolkit version is **11.1+** and it is recommended to install **GCC >= 7.3** and required to have at least **GCC >= 6**.
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Refer to the following table if you're using another CUDA Toolkit version.
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| CUDA Toolkit | GCC |
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|--------------|-------|
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| >= 11.4.1 | >= 11 |
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| >= 12.0 | >= 12 |
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| >= 12.4 | >= 13 |
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Now to install the bitsandbytes package from source, run the following commands:
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You should also install CUDA Toolkit by following the [NVIDIA CUDA Installation Guide for Linux](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html) guide from NVIDIA. The current minimum supported CUDA Toolkit version is **11.8**.
@@ -115,13 +105,7 @@ pip install -e . # `-e` for "editable" install, when developing BNB (otherwise
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Windows systems require Visual Studio with C++ support as well as an installation of the CUDA SDK.
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To compile from source, you need CMake >= **3.22.1** and Python >= **3.9** installed. You should also install CUDA Toolkit by following the [CUDA Installation Guide for Windows](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html) guide from NVIDIA.
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Refer to the following table if you're using another CUDA Toolkit version.
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| CUDA Toolkit | MSVC |
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|---|---|
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| >= 11.6 | 19.30+ (VS2022) |
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To compile from source, you need CMake >= **3.22.1** and Python >= **3.9** installed. You should also install CUDA Toolkit by following the [CUDA Installation Guide for Windows](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html) guide from NVIDIA. The current minimum supported CUDA Toolkit version is **11.8**.
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