"Convenience" (very subjective) of anaconda, i.e.You cannot install arm modules to a 64 bit conda installation. All modules installed will be targeted for 64 bit and conda will download 64bit modules. There are currently only 64 bit installers for anaconda. You will have to make sure that all packages in an env will be installed while the CONDA_SUBDIR=osx-arm64 variable is set though. This can be achieved by setting the environment variable CONDA_SUBDIR=osx-arm64 which you can set each time before running a specific command, or you just set it using the conda env config command for your environment. I have no experience on how stable that works though. You can however modify which sub-directory is considered when a conda command is run. so I downloaded an archived version of Anaconda from. but then saw high sierra was released in 2017. I have high sierra, and was getting hung up on on the install packages bit. The sole difference will be that you can only install 圆4 versions of anaconda and miniconda, but miniforge can be installed as an arm64 installation, which will look into different sub-directories of conda-forge, i.e. But check your MacOs verision and make sure you are downloading Anaconda that is within the release year of the OS. Now to the difference between miniforge and anaconda/miniconda: The first is already preconfigured to use the conda-forge channel, the latter ones can be configured to to the same. On your MAC, it will look similar for your 64bit installation of anaconda/miniconda. 圆4Intel 64AMD64) or arm64 (PaddlePaddle already supports Mac M1). for my conda on a linux machine (installed through miniconda) where I added the conda-forge channel manually, the list of channels actually looks like this: channel URLs : The Anaconda installation of PaddlePaddle supports Python version of 3.7 - 3.10. The difference between a conda that was installed for arm and 圆4 will be in what subdirs it looks. Since then, the M1 (or Apple Silicon) scene has matured so much to the point that I felt it necessary to rewrite my entire guide. When you install conda, then it will automatically look in the correct subdir for all channels that you configure. 11 Photo by Yu Kato on Unsplash NOTE Please Read This story was published over a year ago. A bit of explanation: In each channel, there exist subdirs for different OS and architectures.
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