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Pruning LLMs Like a Physicist: Block Removal as an Ising Optimization Problem

The paper proposes a method for pruning large language models by treating block removal as an Ising optimization problem, a concept from physics. The approach aims to identify and eliminate less important parts of the model to improve efficiency without significant loss of performance.

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September 2026
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PublishedSeptember 21, 2026Hugging Face Blog
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This approach could lead to more efficient large language models by leveraging physics-based optimization techniques.

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