To streamline heterogeneous execution across hardware components, model-specific Mixture-of-Experts checkpoint layouts are normalized into a unified set of expert banks. Each bank organizes parameters using a flattened layer–expert index $lE + e$ as its leading dimension, where $l$ is the layer index, $e$ is the expert index within that layer, and $E$ is the total number of routed experts per layer. Rows across all banks sharing the same flattened index collectively constitute one full expert. This uniform organization guarantees that both device-side GPU kernels and host-side CPU worker threads reference a shared logical expert identity, irrespective of the underlying tensor representations.