Factual package intelligence from PyPI

zetascale 2.8.8 package intelligence

LEGO blocks for AI: Build state-of-the-art models faster with modular PyTorch components.

pip install zetascale

Current version
2.8.8
Python requirement
<4.0,>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
872.0 KiB
Release history
195 releases with files
Median release cadence
0 days

zetascale dependencies

PyPI declares 17 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch
  2. einops
  3. bitsandbytes
  4. transformers <5.0.0,>=4.20.0
  5. einops-exts ==0.0.4
  6. torchvision
  7. accelerate
  8. vector-quantize-pytorch
  9. beartype
  10. tqdm
  11. rich
  12. colt5-attention
  13. argparse <2.0.0,>=1.4.0
  14. local-attention
  15. loguru
  16. joblib <1.4.0,>=1.3.0
  17. scikit-learn <1.6.0,>=1.5.0

Compatibility and release files

zetascale publishes 1 wheel and 1 source archive for version 2.8.8. Wheel platform tags: any.

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

Security snapshot for zetascale 2.8.8

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 195 releases with files. The first dated release is ; 12 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .