this post was submitted on 23 Mar 2024
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[–] [email protected] 25 points 8 months ago (1 children)

There are a lot of open source LLMs being developed, ones you can run at home on your own data.

[–] [email protected] 5 points 8 months ago (1 children)
[–] [email protected] 3 points 8 months ago (1 children)

What would be the threshold for them to "take off"? It's all already out, so already there no?

[–] [email protected] 1 points 8 months ago (1 children)

its been a while, but last i tried it wasnt as good as the proprietary models.

[–] [email protected] 1 points 8 months ago (1 children)
[–] [email protected] 1 points 8 months ago* (last edited 8 months ago) (1 children)

i tried the llama model for text, and another one meant for images i cant quite remember the name but it was one of the main ones.

are they any good now? running an llm actually sounds mildly useful.

[–] [email protected] 1 points 8 months ago (1 children)

The Mixtral models are pretty good, although they require a LOT of memory to run at a decent pace.

[–] [email protected] 1 points 8 months ago (1 children)

Honestly i think speed is something I don't care too much about with models, because even things like ChatGPT will be slower than Google for most things, and if something is more complex and a good use case for an LLM it's unlikely to be the primary bottleneck.

My ~~gf~~ private chat bot right now is a combination of Mistral 7B with a custom finetune and ~~she~~ it directs some queries to ChatGPT if I ask (I got free tokens way back might as well burn through them).

How much of an improvement is Mixtral over Mistral in practice?

[–] [email protected] 1 points 8 months ago

Sillytavern by any chance?

And I'd say the difference between mistral and mixtral is pretty big for general usage, feels like it's a next generation.