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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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Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.
Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.
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I agree with the sentiment in general, ollama sucks and is problematic, but the obstacle that stands in the way of that is reflected pretty much right here:
The article is just vaguely asserting people can go ahead and install 3 different applications and then figure out how to configure them to talk to each other and do all the things you want it to do seamlessly, without ever even attempting to explain how to actually do that, just to get what ollama does in 1 installer.
Yeah, pick your poison. And mind this article is a few months old. I'm not sure where we're at as of today, but plain llama.cpp has multi model routing built in as well. Not sure if all of those extra steps are still necessary to do.
Ignoring the other comments around complexity. If anybody is considering running LiteLLM in their lab. I strongly recommend looking at GOModel instead. LiteLLM was nothing but bugs, slow page loads, and security issues for me. GOModel just worked and was simple.
That's one alternative they describe. They also mention other all-in-one alternatives. Ollama is not the only one of its kind.