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is K2 horizons historically significant as the first actual open-source LLM, or am I falling for hype? (lemmy.zip)
submitted 1 week ago by to c/selfhosted@lemmy.world
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i have been following Chinese models for about two years now because they are open-weight and qwen is fun to run on my kubernetes cluster, the news about this Apache licensed model complete with a recipe to make it again with potentially different ingredients is making we want to abandon them for something more ideologically sound and way more interesting

this new model, couldn't universities rebuild it with different contexts and study it in ways you can't reproduce in other models? like, is k2 horizons a good scientific foundation on which to study machine learning?

or am i just lacking way too much context and falling for hype?

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[–] 12 points 1 week ago*

Someone ping me once the IFM releases the training data for K2 Horizons and I'll add it to the list. Currently it says "training data will be released to the public" and I can't find any big downloads, so it's not open-source yet.

But sure, big achievement. We only got a handful somewhat recent, usable in size/performance, true open-source LLMs.

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