I have an Apple M3 Max 14-inch MacBook Pro with 64 GB of Unified Memory (RAM) and 16 cores (12 performance and 4 efficiency).

It's awesome that PyTorch now supports Apple Silicon's Metal Performance Shaders (MPS) backend for GPU acceleration, which makes local inference and training much, much faster. For instance, each denoising step of Stable Diffusion XL takes ~2s with the MPS backend and ~20s on the CPU.

Here's how I installed pandoc on my MacBook Pro (13–inch, M1, 2020) to run with Rosetta 2 — not natively, but on the x86_64 architecture — until a universal binary for macOS is built that supports the arm64 architecture in new Appple Silicon Macs.

This guide may be used to install other non-universal brew packages.

# Install Homebrew for x86_64 architecture
# https://soffes.blog/homebrew-on-apple-silicon
arch -x86_64 /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)"

# Install pandoc using that version of Homebrew
arch -x86_64 /usr/local/bin/brew install pandoc

Outputs

==> Downloading https://homebrew.bintray.com/bottles/pandoc-2.11.4.big_sur.bottle.tar.gz
Already downloaded: /Users/nono/Library/Caches/Homebrew/downloads/34e1528919e624583d70b1ef24381db17f730fc69e59144bf48abedc63656678--pandoc-2.11.4.big_sur.bottle.tar.gz
==> Pouring pandoc-2.11.4.big_sur.bottle.tar.gz
🍺  /usr/local/Cellar/pandoc/2.11.4: 10 files, 146.0MB

# Check pandoc's version
arch -x86_64 pandoc --version

Outputs

pandoc 2.11.4
Compiled with pandoc-types 1.22, texmath 0.12.1, skylighting 0.10.2,
citeproc 0.3.0.5, ipynb 0.1.0.1
User data directory: /Users/nono/.local/share/pandoc or /Users/nono/.pandoc
Copyright (C) 2006-2021 John MacFarlane. Web:  https://pandoc.org
This is free software; see the source for copying conditions. There is no
warranty, not even for merchantability or fitness for a particular purpose.

Converting Markdown to Html

arch -x86_64 pandoc sample.md -o sample.html

Contents of sample.md:

# Hello, Apple Silicon!

- Pandoc
- seems
- to
- work.

Contents of sample.html:

<h1 id="hello-apple-silicon">Hello, Apple Silicon!</h1>
<ul>
<li>Pandoc</li>
<li>seems</li>
<li>to</li>
<li>work.</li>
</ul>