this post was submitted on 07 Feb 2024
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196
Smaug-72B-v0.1: The New Open-Source LLM Roaring to the Top of the Leaderboard (huggingface.co)
submitted 9 months ago by [email protected] to c/[email protected]
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Abacus.ai:

We recently released Smaug-72B-v0.1 which has taken first place on the Open LLM Leaderboard by HuggingFace. It is the first open-source model to have an average score more than 80.

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[–] [email protected] 45 points 9 months ago (35 children)

I'm afraid to even ask for the minimum specs on this thing, open source models have gotten so big lately

[–] [email protected] 49 points 9 months ago (22 children)

Every billion parameters needs about 2 GB of VRAM - if using bfloat16 representation. 16 bits per parameter, 8 bits per byte -> 2 bytes per parameter.

1 billion parameters ~ 2 Billion bytes ~ 2 GB.

From the name, this model has 72 Billion parameters, so ~144 GB of VRAM

[–] [email protected] 1 points 9 months ago* (last edited 9 months ago)

Though with quantisation you can get it down to like 30GB of vram or less.

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