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Turboquant Pytorch

reason-machines

PyTorch implementation of TurboQuant for LLM KV cache compression using two-stage vector quantization (random rotation + Lloyd-Max + QJL residual correction).

Install

The individual skill folder is not confirmed. This command opens the repository’s skill selector; follow the upstream instructions.

skills CLI
npx skills add reason-machines/trending-skills