GHOST Prunes Mamba2 Hidden States Efficiently

What Changed

Structured pruning via forward-pass controllability and observability metrics

Why It Matters

Researchers and Mamba2 users benefit from efficient state compression without retraining or backprop, enabling smaller, faster models. It matters for deploying large SSMs on edge devices with minimal accuracy loss. This could accelerate Mamba2 adoption in resource-limited settings and inspire pruning for other SSMs.

What To Do Next

Evaluate benchmark claims against your own use cases before adoption.