That's not too far off from our original plan, which was FineWeb-Edu, Cosmopedia V2, and DCLM, then some FineMath, but I will definitely look into those other ones, I've been wanting to find some better datasets
Boris-2-75M: Trained on 26B tokens -- estimated to start training on August 12th. Boris-2-125M: Trained on 90B tokens -- Estimated to start training on August 20th. Boris-2-250M: Trained on 60B tokens -- Estimated to start training on September 10th.
Why does 125M get more tokens than 250M?
Well, the straight answer is time. It saves time, while still allowing the 250M model to exceed the 125M model.
Furthermore, we are attempting a unique architecture and layering scheme to hopefully end up around the strength of SmolLM2-135M. Fingers crossed!