They're claiming the 13b model beats GPT-3 175b which is an extraordinary claim requiring extraordinary evidence. If that's true, though, it'd be interesting to see if that also applies to fine-tuning. Since the claim is predicated on the 13b model being better trained (amongst other things?), I wonder if limited fine-tuning data handicaps the 13b model even if the base model can outperform GPT-3 Davinci, given your point about large models handling fine-tuning better with limited data.