This is definitely a problem. I mostly take a look at the various leaderboards, but there is a proliferation of fine-tuned models that makes it incredibly daunting to explore the model space. Add to that that often they're not immediately available on turn-key tools like ollama, and the friction increases even more. All this without even considering things like licenses, what kind of data has been used for fine tuning, quantization, merges, multimodal capabilities.

I would love a curated list.