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Could multiple 7b models outperform 70b models? (alien.top)

submitted 11 months ago by freehuntx@alien.top to c/localllama@poweruser.forum

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If i have multiple 7b models where each model is trained on one specific topic (e.g. roleplay, math, coding, history, politic...) and i have an interface which decides depending on the context which model to use. Could this outperform bigger models while being faster?

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[–] Cradawx@alien.top 1 points 11 months ago (1 children)

No, several sources include Microsoft have said GPT 3.5 Turbo is 20B. GPT 3 was 175B, and GPT 3.5 Turbo was about 10x cheaper on the API than GPT 3 when it came out so it makes sense.

[–] FullOf_Bad_Ideas@alien.top 1 points 11 months ago

Yeah if that's the case, I can see gpt-4 requiring about 220-250B of loaded parameters to do token decoding