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Earlier quoted context omitted.
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Pardon me, do I know you? Why are you attacking me?
I personally prefer the M to the B. I guess as an engineer, noticing the units comes pretty naturally.
hey nice work, is it possible to release the datasets?
Can it summarize text it fetches? Come to think of it, this could be a nice model to have as the first pass in a more complex agent system where Needle hands of the results of a tool call to a larger model. I will defiantly play around with this!
Are you Calvin or Hobbes?
This is pretty much exactly what I want for Home Assistant. I yell out, "Computer! Lights!" and it toggles the lamp in the room on or off. (I mean I can do that now, I think, but probably with a much larger model.) I haven't played with it yet, but does it ever return anything other than a tool call? What are the failure modes? What if it doesn't understand the request? Does it ever say it can't find a tool? Does it…
How many lights are there?
From all the models that do toolcalls the only thing I am confused is why did you pick the worst? Or maybe they are only bad in agentic work it fine for one shot toolcalls?
Gemini is pretty solid for 1-shot tool call and affordable as well.
That M versus B is way too subtle. 0.026B is my suggestion
The examples are things like "What is the weather in San Francisco", where you are only passed a tool like
tools='[{"name":"get_weather","parameters":{"location":"string"}}]',
My question is how effective is it at handling ambiguity.
Can I send it something like a text message "lets catch up at coffee tomorrow 10:00" and a command like "save this" and have it choose a "add appointment" action from hundreds (or even tens) of possible tools?