this post was submitted on 30 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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Fitting 70B models in a 4gb GPU, The whole model, no quants or distil or anything! (alien.top)
submitted 9 months ago by vatsadev@alien.top to c/localllama@poweruser.forum
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Found out about air_llm, https://github.com/lyogavin/Anima/tree/main/air_llm, where it loads one layer at a time, allow each layer to be 1.6GB for a 70b with 80 layers. theres about 30mb for kv cache, and i'm not sure where the rest goes.

works with HF out of the box too apparently. The weaknesses appear to be ctxlen, and its gonna be slow, but anyway, anyone want to try goliath 120B unquant?

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[–] Tiny_Arugula_5648@alien.top 1 points 9 months ago

one of those cases where proving something can be done doesn't make it useful. This has to be one of the least efficient ways to do inferencing. Like the people who got Doom running on a HP printer. Great you did it but it's the worst possible version.