Quasar is entering its next chapter on Bittensor SN24.
We are moving toward a 10T-token decentralized training run.
The idea is simple Quasar Models needs more useful training, not just bigger parameter counts.
Real model quality comes from tokens, data quality, training direction, and the ability to keep improving checkpoint by checkpoint.
This run starts with a 5T-token phase to produce a stronger checkpoint, then continues into another 5T-token phase, reaching 10T total trained tokens.
SN24 will set the direction:
the starting checkpoint, the data, the training recipe, and the evaluation system.
Miners become the extra compute layer.
They help Quasar train faster, improve continuously, and move forward together.
this would be the largest token-scale training runs ever attempted in decentralized AI.
This is how we scale Quasar.
Help us train it 👇