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nvidia-modelopt

PyPI

Nvidia Model Optimizer: A unified library of SOTA model optimization techniques like quantization, pruning, Neural Architecture Search (NAS), distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.

Latest v0.48.0rc1 · Oct 19, 2026214.4K downloads · 30d

Downloads

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PyPI · excludes known mirrors

downloads18.7K
04.7K9.4K14K18.7KOct 4Oct 18Nov 2
Oct 28

Linked repositories

##RepositoryRepositoryConnectionConnection
1ashishsinghbora/Model-OptimizerSource package · Manifest
2NVIDIA/Model-OptimizerSource package · Manifest

Recent releases

VersionPublished
0.48.0rc1Oct 19, 2026
0.47.0Sep 23, 2026
0.46.1Sep 9, 2026
0.46.0Aug 18, 2026
0.46.0rc2Aug 15, 2026

Metadata updated Oct 29, 2026 · Downloads updated Oct 29, 2026

Download counts include automated and repeat installs. Gaps indicate missing observations.