The hybrid inference model has three key design points: first, the routing strategy (deciding whether a request goes on-device or to the cloud based on input length, task type, and network status); second, the fallback scheme (when the network is unavailable or the cloud times out, the on-device model gives an acceptable suboptimal result rather than directly reporting an error); third, consistency (on-device and cloud model versions need to be updated in coordination).