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docs/src/installation/overview.md
@@ -107,7 +107,7 @@ libraries that CUDA.jl supports.
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If you *really* need to use a different CUDA toolkit, it's possible (but not recommended) to
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load a different version of the CUDA runtime, or even an installation from your local
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system. Both are configured by setting the `version` preference (using Preferences.jl) on
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-the CUDA_Runtime_jll.jl package, but there is also a user-friendly API available in CUDA.jl.
+the CUDA\_Runtime\_jll.jl package, but there is also a user-friendly API available in CUDA.jl.
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### Specifying the CUDA version
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