Factual package intelligence from PyPI

omniuq 0.3.0 package intelligence

State-of-the-art uncertainty quantification methods for large language models.

pip install omniuq

Current version
0.3.0
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
46.3 KiB
Release history
3 releases with files
Median release cadence
2 days

omniuq dependencies

PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=2.0
  2. transformers >=4.40
  3. accelerate >=0.28
  4. sentence-transformers >=2.7
  5. scikit-learn >=1.3
  6. datasets >=2.18
  7. numpy >=1.24
  8. tqdm >=4.65
  9. openai >=1.30

Compatibility and release files

omniuq publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for omniuq 0.3.0

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 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .