Factual package intelligence from PyPI

optimus-dl 0.2.6 package intelligence

A clean, modular framework for training large language models with modern PyTorch features

pip install optimus-dl

Current version
0.2.6
Python requirement
<3.14,>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
914.4 KiB
Release history
17 releases with files
Median release cadence
2 days

optimus-dl dependencies

PyPI declares 45 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. click >=8.2.1
  2. colorlog >=6.9.0
  3. datasets >=4.0.0
  4. hydra-core >=1.3.2
  5. liger-kernel >=0.6.4 when sys_platform == "linux"
  6. lm-eval >=0.4.9
  7. mlflow >=3.10.0
  8. omegaconf >=2.3.0
  9. psutil >=7.2.2
  10. pydantic >=2.12.5
  11. pyyaml >=6.0.0
  12. rich >=13.7.0

The compact report shows 12 of 45 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

optimus-dl publishes 1 wheel and 1 source archive for version 0.2.6. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11.

Security snapshot for optimus-dl 0.2.6

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 17 releases with files. The first dated release is ; 17 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .