There are a lot of open source LLMs being developed, ones you can run at home on your own data.
i hope these take off too
What would be the threshold for them to "take off"? It's all already out, so already there no?
its been a while, but last i tried it wasnt as good as the proprietary models.
Which ones did you try?
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.
The Mixtral models are pretty good, although they require a LOT of memory to run at a decent pace.
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?
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.
There are a lot of open source LLMs being developed, ones you can run at home on your own data.
i hope these take off too
What would be the threshold for them to "take off"? It's all already out, so already there no?
its been a while, but last i tried it wasnt as good as the proprietary models.
Which ones did you try?
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.
The Mixtral models are pretty good, although they require a LOT of memory to run at a decent pace.
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
gfprivate chat bot right now is a combination of Mistral 7B with a custom finetune andsheit 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?
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.