TensorRT Model Optimizer
Release: 0.48.0 (2026-11-02)Commit: e2f328aLicense: Apache-2.0A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
$ pip install -U nvidia-modelopt[all]