Usually, that's because they use a groundbreaking ML method called TTDS, or "training on the test dataset".
You'll note that I didn't quote their benchmarks in my own post at all, because I didn't want to boost them without feeling confident in what they were stating.
I posted about this because my own very limited initial experiments passed a loose vibe check!
I'm impressed any time a 1.7GB (or 130MB) model file appears to be able to do anything useful at all.