I wonder if a "mixture of models" is going to become more common for real-world use cases (i.e. where latency & dollar budgets are real constraints). Chain together a huge model for reasoning, a small model for function calling/RAG, a medium model for decoding language generation. I'm definitely not dismissing 7B models as irrelevant just yet.