this post was submitted on 25 Nov 2023
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LocalLLaMA

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Community to discuss about Llama, the family of large language models created by Meta AI.

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

Does this use of mixture-of-experts mean that multiple 70b models would perform ?better than multiple 7b models

[–] vasileer@alien.top 1 points 11 months ago (2 children)

the question was if multiple small models can beat a single big model but also having the speed advantage, and answer is yes, and an example of that is MOE, which is a collection of small models all inside a single big model,

https://huggingface.co/google/switch-c-2048 is a such example

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

Thank you for sharing, I understand now

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

big is an understatement. Please do correct me if I got it wildly wrong, but it appears to be a 3.6TB colossus.