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arXiv10d ago
4.8

Prune-Quantize-Distill: An Ordered Pipeline for Efficient Neural Network Compression

Longsheng Zhou, Yu Shen

View original ↗

Analysis

Viral velocity
low
Implementation gapYES
Novelty6/10
Categorytool
Topics
pruningquantizationdistillationinference

Opportunity Brief

Develop an end-to-end Python library that executes the Prune-Quantize-Distill pipeline in an order-agnostic, automated way. This tool would be invaluable for developers trying to shrink large models for CPU deployment.

Suggested repo: pqd-flow

"Optimize your models for the CPU: A unified pipeline for compression that actually improves wall-clock time."

Estimated effort: 50h