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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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[–] 1 point 1 week ago

This seems to score well on benchmarks. Better than any previous "open blueprint release". While an exact ordered blueprint on static data provides reproducibility, it's not obvious that a different ordering, or more recent versions of webpages/github repos would produce inferior results. I don't really see a huge area of study available from the blueprint, though other labs may find areas of improvement/inspiration in their approaches.

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