Marin 535B Model Starts Open Pretraining on 18.75T Tokens
Researchers begin transparent pretraining of a 535B-parameter model using public data and configs.
Posts from researchers and engineers report that the Marin project has started pretraining its 535B-parameter model on 18.75 trillion tokens. The run uses 11 NVIDIA GB200 NVL72 systems and is projected to last roughly three months. Participants describe the effort as fully open, with public pretraining mixtures, sampled documents, live loss curves, and training configs. Replies highlight the scale and transparency while comparing it to prior open initiatives. No independent verification of completion or final results appears in the packet.
🚢 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…
