Looks like ballpark a million dollars of GPU time if you want to train up one for yourself (4000 gpus/24 days).
Very nice write up that’s generous in sharing their learnings.
This is a solid and positive contribution.
Looks like ballpark a million dollars of GPU time if you want to train up one for yourself (4000 gpus/24 days).
Very nice write up that’s generous in sharing their learnings.
This is a solid and positive contribution.
Like if I really really just wanted to build it from scratch, could I do so? (not that I have that money but just curious)
To be honest, if I might argue then that this is one of the best truly open source models that we have got.
There is AllenAI and (Elmo?) and there is also this one which does distributed training but I think this looks a lot like SOTA for 3B parameters to me.
Thanks for telling me, I am not going to lie, I am going to try to test it now! (Ima try some GGUF since ollama convenience)
AFAIK, they were the first open everything model.
GPT2 (released ~5 years ago?) was "open" in the sense that weights were available for download (sans license), exact datasets that were used where outlined, the architecture explained and so on, so I guess it was also "open" in the sense that Llama is "open", but neither would be "open source" which I'd feel pretty confident to label OLMo with.
So OLMo seems to be the first actually "open source" model, but maybe not "open" as in "downloadable" (which Facebook tries to call "open source").