Epic to track TurboQuant support in SKaiNET.
Goal: make TurboQuant a first-class runtime feature, starting with KV-cache compression.
- new storage/layout abstractions beyond DType
- packed/streamed tensor storage
- KV-cache compression integration at SDPA
- CPU reference path and backend kernels
- loader changes for GGUF/SafeTensors
Epic to track TurboQuant support in SKaiNET.
Goal: make TurboQuant a first-class runtime feature, starting with KV-cache compression.