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README.md
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@@ -113,6 +113,13 @@ driver needs to be installed if you own an NVIDIA GPU. On Windows, if
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you have an AMD GPU, you should install the ROCm SDK v6.1 and then pass
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the flags `--recompile --gpu amd` the first time you run your llamafile.
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For further information, please see the [llamafile
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README](https://github.com/mozilla-ocho/llamafile/).
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you have an AMD GPU, you should install the ROCm SDK v6.1 and then pass
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the flags `--recompile --gpu amd` the first time you run your llamafile.
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On NVIDIA GPUs, by default, the prebuilt tinyBLAS library is used to
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perform matrix multiplications. This is open source software, but it
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doesn't go as fast as closed source cuBLAS. If you have the CUDA SDK
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installed on your system, then you can pass the `--recompile` flag to
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build a GGML CUDA library just for your system that uses cuBLAS. This
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ensures you get maximum performance.
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For further information, please see the [llamafile
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README](https://github.com/mozilla-ocho/llamafile/).
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