Matthew Clapp

Nils Graef, Andrew Wasielewski, Matthew Clapp

This paper presents FlashNorm, which is an exact but faster implementation of RMSNorm followed by linear layers. RMSNorm is used by many LLMs such as Llama, Mistral, and OpenELM. FlashNorm also speeds up Layer Normalization and its recently proposed replacement Dynamic Tanh (DyT) arXiv:2503.10622. FlashNorm also reduces the number of parameter tensors by simply merging the normalization weights with the weights of the next linear layer. See https://github.com/OpenMachine-ai/transformer-tricks for code and more transformer tricks.