(I'm guessing this would work, but haven't tried). I'm also not sure/haven't tested whether you can mix and match M1 wheels with x86 mac wheels. I've not tested this too extensively yet, and I'm not sure exactly what happens if a non-M1 wheel is available (I believe it will default to downloading a no-arch version). (look for supporting platform 'osx-arm64` eg numpy)
Various installers for their Miniforge (via direct download, curl or homebrew) can be found on their github page (above) - the direct link to the ARM native miniforge installer is here.Ī quick search on conda-forge show's almost all common modules do now have native M1 wheels available. However, as steff above mentioned, conda-forge (as in the group responsible for maintaining the conda-forge channel) do have a installer for their version of conda that is itself both native M1, and also sets up your environment to pull M1 native wheels where available. It seems Anaconda still do not have a native M1 version, nor does Miniconda.I can't figure out why it's taken so long and neither still seem to have native M1 support, but that's a separate issue. There seem to be native osx M1 native wheels for most common modules now available on the conda-forge channel.
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