# Follow live the open training of a 535B (23B activated) LLM

> Source: <https://twitter.com/percyliang/status/2090918065634684997>
> Published: 2026-08-22 22:27:39+00:00

🚢 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 on X: "🚢 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"

- In addition to forecasting our final loss, we can also forecast the loss of intermediate checkpoints, so we can see if we’re on track over the voyage:Look at our data composition:
[storage.googleapis.com/marin-public/h…](https://storage.googleapis.com/marin-public/held/harrier-k40-cluster-overview/2026.08.18/index.html?revision=uniform-sampling)Watch the run live on wandb:[wandb.ai/marin-communit…](https://wandb.ai/marin-community/marin_moe/reports/535B-A23B-18T-Token-Hero-Run-Scaling-Ladder--VmlldzoxNzc2MDM5Ng)See all the gory details on GitHub:[github.com/marin-communit…](https://github.com/marin-community/marin/issues/8435)Assembling this hero run really required data, architecture, infra, kernels to all come together and was a huge - congrats team! Excited that there's compute out there for non profits :) and will look forward to working with the model
