this post was submitted on 07 Apr 2025
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LocalLLaMA

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General consensus seems to be that llama4 was a flop. A head of meta AI research division was let go.

Do you think it was a bad fp32 conversion, or just unerwhelming models all around?

2t parameters was a big increase without much gain. If throwing compute and parameters isnt working to stay competitive anymore, how do you think the next big performance gains will be made? Better CoT reasoning patterns? Omnimodal? something entirely new?

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[–] [email protected] 4 points 2 weeks ago

I'm pretty convinced it is just a bad set of models.

I'm waiting for qwq2 or something. Llama hasn't been my choice for a while.