Been messing around with different samplers with gemma, found this works surprisingly well.
The idea is to have the temp range between doubling and halving the token distribution, the exponent ensures when the normalized entropy is at 0.5 the temp is at 1.0. Essentially exaggerating the model's base behaviour.
--samplers "min_p;temperature" \
--min-p 0.05 \
--temp 1.25 --dynatemp-range 0.75 --dynatemp-exp 1.584963