  Using the hyper-exponential recurrence criterion, a large deviation principle
for the occupation measure is derived for a class of non-linear monotone
stochastic partial differential equations. The main results are applied to many
concrete SPDEs such as stochastic $p$-Laplace equation, stochastic porous
medium equation, stochastic fast-diffusion equation, and even stochastic real
Ginzburg-Landau equation driven by $\alpha$-stable noises.
