Llama 7B is NOT a good model.

What kind of desktop are you running a 120B model on with reasonable performance?

30B is plenty if you have a local DB of all of your files and wiki/stackechange/other important databases places in a embedding vectordb.

This is typically what is done when people make these models for their home, and it works quite well while saving a ton of money.

While llama-7B systems on their own may not be able to construct a novel ML algorithm to discover a new analytical expression via symbolic regression for many-body physics, you can still get a great linguistic interface with them to a world of data.

You're not thinking like a real software engineer here - there are a lot of great ways to use this semantic compression tool.