governed-compression
Private research implementation surface for governed vector and KV-cache compression.
Purpose
This repo exists to provide a better implementation surface than the current fragmented TurboQuant-adjacent landscape.
Core goals:
- CPU reference implementation first
- reproducible benchmarks
- Windows via WSL2 first
- tuple-based experiment logging from day one
- method comparison across TurboQuant-style, QJL, and simple baselines
Initial Scope
- vector encode / decode
- approximate dot product
- distortion metrics
- simple benchmark harness
- experiment logging
This repo is not yet a full inference-runtime integration project.
Layout
governed_compression/
core/
bench/
logging/
tests/
examples/
docs/
Quick Start
python3 -m venv .venv
source .venv/bin/activate
pip install -e .
python -m governed_compression.cli
Current Status
Stage 1 scaffold only.
Metadata
Release files for governed-compression 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| governed_compression-0.1.0.tar.gz | 7.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| governed_compression-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.3 kB
Release files / governed_compression-0.1.0.tar.gz
| Download URL | governed_compression-0.1.0.tar.gz |
|---|---|
| Size | 7.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / governed_compression-0.1.0-py3-none-any.whl
| Download URL | governed_compression-0.1.0-py3-none-any.whl |
|---|---|
| Size | 9.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.5
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Security for governed-compression 0.1.0
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