LoL Architecture Dynamically Reorders Transformer Layers at Inference
November 2, 2026
Library of Layers (LoL) introduces an architecture that adaptively orders transformer blocks during runtime. It allows a single model to transition between parameter reuse and sparsity, unifying dense, recurrent, and MoE architectures through a single hyperparameter.
HOW THIS AFFECTS YOU
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builderYou can optimize inference FLOPs by allowing the model to choose the most efficient layer sequence for a given input.
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researcherLoL offers a new unified framework for exploring the efficiency tradeoffs between different model architectures.