To train better open models, we need predictable scaling. Delphi is Marin’s first step: we pretrained many small models with one recipe, then extrapolated 300× to predict a 25B-param / 600B-token run with just 0.2% error. Getting there took some work 🧵

Learn more about the project in Percy's blog post: marin.community/blog/2025/05... And about the Models we are releasing in @dlwh.bsky.social's training retro: marin.readthedocs.io/en/latest/re...

Super excited Marin is finally out! Come see what we've been building! Code/platform for training fully reproducible models end-to-end, from data to evals. Plus a new high quality 8B base model. Percy did a good job explaining it on the other place. marin.community x.com/percyliang/s...