SKaiNET is close to TurboQuant-readiness, but core refactoring is needed first.
- separate logical dtype from physical encoding/layout
- introduce buffer/storage abstractions
- add explicit placement and memory-domain modeling
- reduce copy-heavy materialization/loading paths
- unify packed quantized tensor storage
TODOs
SKaiNET is close to TurboQuant-readiness, but core refactoring is needed first.
TODOs