Recently (here and elsewhere) I have seen a lot of LLM discussions centre around the idea of coding. That may be selection bias, but according to a Gallup poll, only about 14% of AI users report using coding assistants at work. In another study (conducted by OpenAI/NBER) coding was only 4.2% of messages. PDF here
I think we’re all tired of the dismissive “wHaT’s yOuR uSE cASE” framing some questions receive…but I actually am curious about what folks are doing with their local models (and LLMs in general).
Myself, I code because there are certain features I am trying to bring about, as part of a larger stack, but that (coding) is not my end goal.
So…uh…what’s your use case for this junk? (gak, I feel sullied an unusual typing that).


I feel like I collect models more than I use them lol. Right now I have been running GPT-OSS 20b and have enjoyed its output.
Mainly using it for planning I guess? Helping me come up with a job proposal for work, exploring the framework for a book idea, giving me the basic for new powershell scripts, garden planning.
Sometimes I just ask random weird questions just to see what it says.
As for collecting them…they’re just like Pokemon
Yeaaahhh… to both of those things haha. It definitely has a penchant for tables and lists.