Seems the model used is gpt4all but i have yet to see a good explanation on what gpt4all does that makes it seem like its a trending for consumers which leads me to believe it really is just people confusing its name as being actually comparable to gpt4.

If you check the leaderboard on huggingface there are a whopping 37 open source large language models with better quality outputs then gpt4all.

Any good llm interface that allows you to run them locally should allow you to run any of them and you should play around with multiple cause they might all perform at very different speeds depending on your system. Personally i have have used up to Wizard-Vicuna-13B which is listed more then 10 spots above gpt4all and can provides me a decent but dumb conversation in a reasonably slow speed.

The biggest (64B) models will probably be too slow to 95% of consumers and will get you good gpt-3 like performance at best.

Unless someone can tell me otherwise i don't believe that running these for actual productive goals/more then playing around is something i can advise. And putting the focus on just the interface and not the model that does the work seems a bit salespeech like.

Oh this looks really neat. Thanks for posting.

I don't see any kind of hardware requirements? Do you happen to know what is recommended? Lots of ram? GPU beefly CPU??

Cool. I’ve been wanting to play around with something like this. Thanks for the share.