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LocalLLaMA
Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.
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Looks good to me.
For reference: I think i got the settings in my screenshot from Reddit. But they seem to have updated the post since. The current recommended settings have a temperature and some other settings that are closer to what I've seen in the default settings. I've tested those (new to me) settings and they also work for me. Maybe I also adapted the settings from here.
And I've linked a 33b MythoMax model in the previous post that's probably not working properly. I've edited that part and crossed it out. But you seem to use a 13b version anyways. That's good.
I've tried a few models today. I think another promising model for writing stories is Athena. For your information: I get inspiration from this list. But beware, that's for ERP, so erotic role play. So some models from that ranking are probably not safe for work (or for minors). But other benchmarks often test for factual knowledge and answering questions. And in my experience the models good at those things are not necessarily good at creative tasks. But that's more my belief. I don't know if it's actually true. And this ranking also isn't very scientific.
Ah thank you for the trove of information. What would be the best general knowledge model according to you?
Well, I'm not that up to date anymore. I think MythoMax 13b is pretty solid. Also for knowledge. But I can't be bothered anymore to read up on things twice weekly. That news is probably already 3 weeks old and there will be a (slightly) better one out there now. And it gets outperformed by pretty much every one of the big 70b models. But I can't run them on my hardware, so I wouldn't know.
This benchmark ranks them by several scientific tests. You can hide the 70b models and scarlett-33b seems to be a good contender. Or the older Platypus models directly below. But be cautious, sometimes these models look better on paper than they really are.
Also regarding 'knowledge': I don't know about your application. Just in case you're not aware of this... Language models hallucinate and regularly just make up stuff. Even expensive and big models will do this. The models we play with, even more so. Just be aware of it.
And lastly: There is another good community here on Lemmy: [email protected] You can find a few tutorials and more people there, too. And have a look at the 'About' section or stickied posts there. They linked more benchmarks and info.
Alright, thanks for the info & additional pointers.