In this chapter, we introduce the hybrid Gibbs sampling framework in CUQIpy. We focus mainly on two cases. The first case is using this framework to sample from a posterior distribution of a BIP with hyperparameters. The second case is using this framework to sample from a posterior distribution of a BIP in which the forward model has multiple, distinct input parameters, that may be of different nature and dimensionality, and require different priors.