🎯

turboquant-pytorch

🎯Skill

from aradotso/trending-skills

What it does

From-scratch PyTorch implementation of Google TurboQuant (ICLR 2026) for LLM KV-cache compression: Stage 1 random orthogonal rotation + Lloyd-Max scalar quantization, Stage 2 QJL 1-bit sign residual correction for unbiased inner products — achieving 5x compression at 3-bit (58MB vs 289MB FP16) with 99.5% attention fidelity on Qwen2.5-3B.

📦

Same repository

aradotso/trending-skills(263 items)

turboquant-pytorch

Installation

Vibe Index InstallInstalls to .claude/skills/ - auto-recognized by Claude Code

npx vibeindex add aradotso/trending-skills --skill turboquant-pytorch

skills.sh Install⚠ Installs to .agents/skills/ - may not be auto-recognized by Claude Code

npx skills add aradotso/trending-skills --skill turboquant-pytorch

Manual InstallCopy SKILL.md content and save to the path below

~/.claude/skills/turboquant-pytorch/SKILL.md

SKILL.md

570Installs

AddedApr 13, 2026

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