• andyburke
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    262 years ago

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

      • LainTrain
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        42 years ago

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

        • ☂️-
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          12 years ago

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

            • ☂️-
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              2 years ago

              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.

              • just another devA
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                12 years ago

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

                • LainTrain
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                  12 years ago

                  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?

                  • just another devA
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                    12 years 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.