Open weights
lab Hugging Face Blog · 3d ago MMLU · 77.0% · 15 views

Multiverse reformulates LLM block removal as Ising optimization for deep compression

Multiverse has released a paper detailing a method that reframes large language model pruning as a constrained binary optimization problem mapped to an Ising glass. By treating transformer blocks as spins with pairwise couplings derived from the loss Hessian, the approach identifies optimal block removal configurations without requiring iterative benchmarking.