The correct way to update the version of a model in the MLflow Model Registry is by using client.update_model_version(name=model_name, version=new_model_version). This method is specifically designed for updating model versions, aligning with MLflow's naming conventions and functionality. Other options either use non-standard terms or are intended for different purposes, such as updating general model metadata.