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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 19 hours ago by story@lemmy.zip to c/selfhosted@lemmy.world

13 comments fedilink hide all child comments

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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[–] surewhynotlem@lemmy.world 2 points 12 hours ago (2 children)

I keep falling back to qwen. Though bonsai did give it a good run for a while.

But I only have an old 8gb card.

[–] PetteriPano@lemmy.world 1 points 7 hours ago

I have a bit more memory, so I jump between the two qwen 3.8s.

Glimmer muse was a good contender in the MoE space for a few days. Might be more viable on 8gb.

[–] greybeard@feddit.online 1 points 11 hours ago

Qwen is what I've found to work the best for me so far. I haven't done an exhaustive search or anything, but the mixture of experts 35b models seem to work pretty well.

I've got a little more vRAM to play with, 20GB. It still struggles with giving it enough context to be useful for agentic stuff.