Multiverse Reformulates LLM Block Pruning as Ising Optimization, Gains 23 Points on MMLU
Multiverse Computing published a paper recasting transformer block removal as a constrained binary optimization problem mapped onto an Ising glass. The spin-system energy serves as a cheap proxy for pruned model quality, letting solvers rank candidates without benchmarking. At 50% compression of Llama-3.3-70B-Instruct, the method gains almost 23 percentage points on MMLU over the best competing block-removal approach.
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