Factual package intelligence from PyPI
Fast KV-cache quantization for Apple Silicon (MLX) — 41 research-adapted compression methods, from TurboQuant and KIVI to A2ATS, with Metal kernels
pip install veloxquant-mlx
PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.18>=1.26>=3.8VeloxQuant-MLX publishes 1 wheel and 1 source archive for version 0.41.0. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12.
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.
PyPI lists 48 releases with files. The first dated release is ; 48 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .