dr-llm-dynamic-routing

Use per-layer routers trained with Monte Carlo Tree Search to dynamically skip, execute, or repeat transformer layers for each token. Saves ~5 layers per example while maintaining accuracy on diverse benchmarks.

Independent GitHub snapshot · Automated classification · Original documentation governs