Hey! Love the Gemma series. Question that came to mind reading the announcement post - the proposal there is that you can use this as a local backbone and have it treat a larger model as a 'tool call' when more reasoning is needed.

In my mind we want a very smart layer frontier model orchestrating, but not slowing everything down by doing every little thing; this seems like the opposite - a very fast layer that can be like "wait a minute, I'm too dumb for this, need some help".

My question is - does the Gemma team use any evaluation around this particular 'call a (wiser) friend' strategy? How are you thinking about this? Is this architecture flow more an accommodation to the product goal - fast local inference - or do you guys think it could be optimal?