rookiemann/multi-turboquant

Unified KV cache compression for LLM inference — TurboQuant, IsoQuant, PlanarQuant, TriAttention. 10 methods, GPU-validated, multi-GPU planner. Compress KV cache 5-80x to run bigger models, longer context, more agents on your GPU.

22
/ 100
Experimental
No Package No Dependents
Maintenance 13 / 25
Adoption 1 / 25
Maturity 8 / 25
Community 0 / 25

How are scores calculated?

Stars

1

Forks

—

Language

Python

License

MIT

Last pushed

Apr 10, 2026

Commits (30d)

0

GitHub

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/rookiemann/multi-turboquant"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

scikit-learn/scikit-learn

scikit-learn: machine learning in Python

100

pallets/click

Python composable command line interface toolkit

90

Farama-Foundation/Gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference...

87

probabl-ai/skore

Track your Data Science. Skore's open-source Python library accelerates ML model development...

86

huggingface/evaluate

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

84

Explore ML Frameworks

All categories Trending ML Framework directory Insights