How would you decide the right token-to-parameter ratio...

The decision process involves balancing training efficiency with serving costs. After determining the compute-optimal ratio for your specific data distribution via isoFLOP analysis, you must factor in your projected inference volume. If serving costs are high, you should adjust the ratio upward from the compute-optimal baseline. Before committing a large budget, it is critical to perform small pilot runs to empirically validate the overtrained region.