Viewing enriched Twitter post
MoE money, MoE problems: it's straight up bonkers that there is not a single finetune of llama 4. zero. zilch. nada. everything on the hub is a reupload. trust me, I've spent the past several weeks trying with torchtune, torchtitan, hf -- anything. it literally just doesn't… https://t.co/sGS80aksgl
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"full_text": "@theemozilla The answer is kind of obvious right. Zuck has said himself that essentially they started building the models for their internal uses and open sourced what they had if people found it useful. A major change from llama 3.",
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"text": "Why the shift? Just leadership drift?\n\nHaven't spoken about it publicly before but Tek and I went out to Meta after L2 and met with training team leads and they asked us what OS wants in Llama 3.\n\nWe told them credible long context, model sizes optimized for consumer inference hardware, and decent multimodal support. L3 gave us all.\n\nThen L4 is a side artifact with no hopes of replicating the previous generation's successes? Almost feel like it was a fall guy 😭",
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