Factual package intelligence from PyPI

nvidia-modelopt 0.45.0 package intelligence

Nvidia Model Optimizer: A unified library of SOTA model optimization techniques like quantization, pruning, Neural Architecture Search (NAS), distillation, speculative decoding, etc. It compresses dee

pip install nvidia-modelopt

Current version
0.45.0
Python requirement
<3.15,>=3.10
License
Apache-2.0
Distribution type
Pure Python wheel
Release files
1 (1 wheels, 0 source)
Download size
1.8 MiB
Release history
34 releases with files
Median release cadence
20 days

nvidia-modelopt dependencies

PyPI declares 72 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. ninja
  2. numpy
  3. nvidia-ml-py >=12
  4. packaging
  5. setuptools >=80
  6. torch >=2.8
  7. tqdm
  8. PyYAML >=6.0
  9. omegaconf >=2.3.0
  10. pulp <4.0
  11. pydantic >=2.0
  12. regex

The compact report shows 12 of 72 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

nvidia-modelopt publishes 1 wheel and 0 source archives for version 0.45.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.

Security snapshot for nvidia-modelopt 0.45.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 34 releases with files. The first dated release is ; 15 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .