Hi folks!
I love running local small models, but it's quite annoying to attempt to compare them using benchmarks. Not only are they scattered around, they often don't even share the same ones.
So I built Tiny League for those of use who care about small models. By small, I'm aiming at 3-200B, which is a range that I consider both capable and able to run at home (for those who have unified memory like mac, strix or spark)
I'm limiting the model list to models released after April and excluding models that are trained for specific use-cases.
So I built Tiny League for those of use who care about small models. By small, I'm aiming at 3-200B, which is a range that I consider both capable and able to run at home (for those who have unified memory like mac, strix or spark)
I'm limiting the model list to models released after April and excluding models that are trained for specific use-cases.
Appreciate all sorts of feedback :)