This paper introduces the Local Learning Coefficient (LLC), a singularity-aware measure of model complexity grounded in singular learning theory. We provide scalable estimators using SGLD and demonstrate how LLC reveals inductive biases in deep learning. An earlier version of this work was released on arXiv under a different title and slightly different formulation emphasising the mathematics.