AI & Machine Learning
TurboQuant PyTorch
PyTorch implementation of TurboQuant for LLM KV cache compression using two-stage vector quantization (random rotation + Lloyd-Max + QJL residual correction).
- Publisher / source
- reason-machines/trending-skills (found on skills.sh)
- Upstream record
- reason-machines/trending-skills
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
4a015aaca56d3075ab96cc34cdaf18046dc7e75fa91e247e7507a4db81287263