In addition to the tools other people responded with, a good rule of thumb is that most local models work best* at q4 quants, meaning the memory for the model is a little over half the number of parameters, e.g. a 14b model may be 8gb. Add some more for context and maybe you want 10gb VRAM for a 14gb model. That will at least put you in the right ballpark for what models to consider for your hardware.

(*best performance/size ratio, generally if the model easily fits at q4 you're better off going to a higher parameter count than going for a larger quant, and vice versa)

> Is there any website to see the minimum/recommended hardware required for running local LLMs?

LM Studio (not exclusively, I'm sure) makes it a no-brainer to pick models that'll work on your hardware.

This can be a useful resource too:

https://www.reddit.com/r/LocalLLaMA/

If you have a HuggingFace account, you can specify the hardware you have and it will show on any given model's page what you can run.