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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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[–] saltesc@lemmy.world 22 points 9 months ago (1 children)

Large Language Model AI. Like ChatGPT.

[–] FaceDeer@kbin.social 0 points 9 months ago (1 children)

And at 72 billion parameters it's something you can run on a beefy but not special-purpose graphics card.

[–] glimse@lemmy.world 6 points 9 months ago (2 children)

Based on the other comments, it seems like this needs 4x as much ram than any consumer card has

[–] FaceDeer@kbin.social 4 points 9 months ago

It hasn't been quantized, then. I've run 70B models on my consumer graphics card at a reasonably good tokens-per-second rate.

[–] DarkThoughts@fedia.io 2 points 9 months ago

I'm curious how local generation goes with potentially dedicated AI extensions using stuff like tensor cores and their own memory instead of hijacking parts of consumer GPUs for this.