Local models: I've also got some on my laptop, (m2 macbook air w/24gb of ram) but have the bigger versions on my PC - I'm on my laptop at the moment, in the kitchen, away from the server rack in the study :D
I don't use them heavilly, but the best use case I can think of at the moment is to run a batch prompt to check HIVE posts for suspicion of AI gen content. I think Hermes is pretty good at doing that. (Just using LM Studio - because I am far, far from a dev)
I use the local LLMs very sparingly, but the use case for a lot of them is that.. they're not that excellent for most things, but they are good at helping me figure out why the crap my shitty python code doesn't work, or try and decipher things like dependency trees different virtual environments, mainly for the text to image stuff I've been playing with in the past.
I have several hundred gigabytes of various image to text models on my main PC. I've trained a few models on my own photographic work, and use that to ideate things for new shoots when I'm working with models. Have also been trying to play with detailing or returning focus to missed shots, but on raw images (at 24 megapixels) - it takes 6 minutes per image, and generally isn't worth it.
I have found gemini to be the best of the non-local models, particularly for my main use case, which was to take an excel spreadsheet I had made, and some python logic, and turn it into a web app so I could stop relying on Excel for my budget / financial runway calcs.
EXPOSED YOURSELF AGAIN LOL
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