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Abhinav Bandari

1 accepted papers

2024

Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning

EMNLP 2024main

Network pruning has emerged as a potential solution to make LLMs cheaper to deploy. However, existing LLM pruning approachesuniversally rely on the C4 dataset as the calibration data for calculating pruning scores, leaving its optimality unexplored. In this study, we evaluate the choice of calibrati…