# Marin 535B-A23B Starts Training, in the Open > Source: > Published: 2026-08-23 12:00:00+00:00 # Marin 535B-A23B Starts Training, in the Open 🚢 Marin 535B-A23B started training this week! As usual, the whole process is open. Voyage plan: pretraining (80%) + midtraining (20%) on 18.75T tokens on 11 x GB200 NVL72 for ~3 months (2.7e24 FLOPs). Post-training will follow. Before kicking off the run, we trained a 4-rung scaling ladder from 1.6B-A61M (48B tokens) to 27.7B-A1.2B (926B tokens) to debug issues, and to make a forecast of our hero run. This is by far our biggest run, so definitely expecting the unexpected. [Percy Liang](https://x.com/percyliang/status/2090918065634684997), announcing the run on X. The Marin project is a great example of being open to AI. The whole process is public: the scaling ladder they ran to debug the pipeline before committing GPU-months to the real thing, the exact token counts, the exact FLOPs, even the admission that they’re “expecting the unexpected” on their biggest run yet. Most labs treat a run like this as a trade secret until the model ships. It’s great we see another public model build. The last public run at this scale was [BLOOM](https://huggingface.co/bigscience/bloom), BigScience’s 176B model. Marin’s 535B total parameters (23B active) puts it well past that, the biggest public pretraining run that I’m aware of.