Factual package intelligence from PyPI

turboquant-explained 0.1.1 package intelligence

Near-optimal KV-cache compression for HuggingFace transformers using Lloyd-Max + QJL quantization

pip install turboquant-explained

Current version
0.1.1
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
60.1 MiB
Release history
2 releases with files
Median release cadence
0 days

turboquant-explained dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.24
  2. scipy >=1.10
  3. torch >=2.0
  4. transformers >=4.40

Compatibility and release files

turboquant-explained publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .