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Eigenspectral KV cache compression for transformer inference. Up to 6.55x compression with FP16-equivalent quality, drop-in for HuggingFace LLMs and vision transformers.
pip install spectralquant
PyPI declares 28 unique dependency rules for this release. Environment markers are shown when supplied by the project.
The compact report shows 12 of 28 declarations. The interactive dependency graph loads the complete metadata.
spectralquant publishes 1 wheel and 1 source archive for version 0.3.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
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 .