Verified record · from the answer index

turboquant-pytorch

skilltested · static-verifiedscore 49/100signed passport ✓815 uses

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

Declared tools (1)

turboquant-pytorch

skill:reason-machines/trending-skills/turboquant-pytorch · published by reason-machines · source repository