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Xingjia Han

1 accepted papers

2024

Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs

ICLR 2024poster

The ever-increasing large language models (LLMs), though opening a potential path for the upcoming artificial general intelligence, sadly drops a daunting obstacle on the way towards their on-device deployment. As one of the most well-established pre-LLMs approaches in reducing model complexity, net…