Factual package intelligence from PyPI

rhai-innovation-mini-trainer 0.9.0 package intelligence

Simple training repo which is used to house reference implementations of emerging training algorithms, such as Orthogonal Subspace Fine Tuning (OSFT).

pip install rhai-innovation-mini-trainer

Current version
0.9.0
Python requirement
<3.13,>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
8.7 MiB
Release history
20 releases with files
Median release cadence
9 days

rhai-innovation-mini-trainer dependencies

PyPI declares 26 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=2.6
  2. typer
  3. aiofiles
  4. deprecated
  5. numpy
  6. datasets >=5.0.0
  7. transformers >=4.57.1
  8. ninja
  9. numba >=0.61.2
  10. rich

The compact report shows 12 of 26 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

rhai-innovation-mini-trainer publishes 1 wheel and 1 source archive for version 0.9.0. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12.

Security snapshot for rhai-innovation-mini-trainer 0.9.0

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 20 releases with files. The first dated release is ; 20 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .