There is a post over here Hierarchical Gompertz model which dives into some of this.
In general if the model is running slow:
Simplify the model as much as possible and add complexity in steps
and
Reduce the amount of data by quite a bit. I usually pull out a few hundred or thousand data points.
It can be hard to troubleshoot complicated models and large data sets.