Mistral 7B, the most powerful language model for its size to date, Apache 2.0

Re:Mistral 7B, the most powerful language model for its size... by godelski on Wednesday September 27, 2023 @11:18PM (#37684783)

> Would Mistral's engineers be satisfied with the release if they had to rebuild from scratch?

Yeah, probably. But depends on what you're asking. In the exact same method to get the exact same results down to epsilon error? (Again, ML models are not deterministic) Probably not. This honestly can even change with a different version of pytorch, but yes, knowing the HPs would help get closer.

But to train another 7B model of the __exact__ same architecture? Yeah, definitely they've provided all you need for that. You can take this model and train it from scratch on any data you want and train it in any way you want.

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Re:Mistral 7B, the most powerful language model for its size... by monocasa on Thursday September 28, 2023 @08:12PM (#37697709)

I didn't ask if they'd be able to make do. I asked if they'd be satisfied.

Also, wrt

> Again, ML models are not deterministic)

ML models are absolutely deterministic if you have the discipline to do so (which is necessary at higher scale ML work when hardware is stochastically flaky).

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