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Smaug-72B-v0.1: The New Open-Source LLM Roaring to the Top of the Leaderboard (huggingface.co)

submitted 9 months ago by hexual@lemmy.world to c/technology@lemmy.world

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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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[–] simple@lemm.ee 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

[–] TheChurn@kbin.social 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

[–] rs137@lemmy.world 1 points 9 months ago

Llama 2 70B with 8b quantization takes around 80GB VRAM if I remember correctly. I’ve tested it a while ago.

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