
AdaGP proposes a novel framework for global pruning of large language models, achieving significant performance improvements in high-sparsity regimes.


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gradient-free-adaptive-global-pruning-for-pre-trained-language-models-a-novel-framework-for-efficient-compression


Gradient-Free Adaptive Global Pruning for Pre-trained Language Models: A Novel Framework for Efficient Compression


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Efficiently compressing large language models through global pruning with low memory consumption.
