Auto fallback on model failures

**Overview**
Introduce a configurable auto-fallback mechanism when a given model fails to load or process an input (default: false).

**Requirements** 
- If `fallback: true`, when a model quantization fails to load or perform an inference, attempt falling back to another allowed quantization for that model. 
- Tests must prove compatibility for all of all changes across all impacted flows.

