Factual package intelligence from PyPI
Near-optimal KV cache quantization for CPU LLM inference
pip install turboquantcpu
PyPI declares 28 unique dependency rules for this release. Environment markers are shown when supplied by the project.
The compact report shows 25 of 28 declarations. The interactive dependency graph loads the complete metadata.
turboquantcpu publishes 0 wheels and 1 source archive for version 0.1.0. Wheel platform tags: No wheel platform tags.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.9.
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 .