Which quanitization library to use?

AI & Data Science Deep Learning (Training & Inference) TensorRT
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Description

Which library is better to learn for model quantization (I am interested in testing both aprroaches QAT and PTQ).
pytorch-quantization or TensorRT Model Optimizer? They seem to have many similiarities and both are mention in quantization page of TensorRT.

Could you suggest me please which library is better to learn first?
P.S. Currently I am trying to optimize inference for YOLO11-like model.

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Looks like I found answer by myself in PyTorch Quantization — Model Optimizer 0.25.0

  • ModelOpt PyTorch quantization is refactored from and extends upon pytorch_quantization.
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