mup
Maximal Update Parametrization (μP) ensures stable hyperparameter transfer across neural network sizes, effectively supporting large transformer models. This PyTorch-integrated open-source package minimizes scaling fragility and enhances performance predictability, making it essential for optimizing massive neural networks without extensive re-tuning.
