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* Support for AMD GPUs is currently in a preview state.
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* All features are supported for consumer RDNA devices.
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* The Data Center products currently lack support for the default 4bit blocksize of 64, and as such default to 128.
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* A compatible PyTorch version with AMD ROCm support is required. It is recommended to use the latest stable release. See [PyTorch on ROCm](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/pytorch-install.html) for guidance.
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* ROCm support is currently only available in our preview wheels or when building from source.
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### Preview Wheels from `main`[[rocm-preview]]
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### Installation from PyPI[[rocm-pip]]
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The currently distributed preview `bitsandbytes` are built with the following configurations:
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This is the most straightforward and recommended installation option.
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The currently distributed `bitsandbytes` are built with the following configurations:
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