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Run the strongest open-source LLM model: Llama3 70B with just a single 4GB GPU

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Re: Run the strongest open-source LLM model: Llama3 70B with just a single 4GB GPU

#4
Any chance that the new NPUs are going to significantly speed up running these locally.

Well I'm definitely worried about recall and all the Microsoft nonsense, I really want to be able to run and train LMMs, and other machine learning frameworks locally.

Re: Run the strongest open-source LLM model: Llama3 70B with just a single 4GB GPU

#5
post #2

This sounds like a game changer. I wonder if they need to do a tonne of specific work per model? If this could be implemented in Ollama, I'd be over the moon.

Ollama can already run Llama-3 70B with a 4GB GPU, or no GPU at all, it'll just be slow.

Considering this says it's "not designed for real-time interactive scenarios" it's probably also really slow

Re: Run the strongest open-source LLM model: Llama3 70B with just a single 4GB GPU

#7
As a cloud solution developer that has to build AI on Azure I have been using this instead of Azure OpenAI. It has sped up my development workflow a lot, and for my purposes it’s comparable enough. I’m using LM studio to load these models.

Re: Run the strongest open-source LLM model: Llama3 70B with just a single 4GB GPU

#9

Any sense of speed? My assumption is that shuttling the weights in/out of the GPU is slow. Does GPU load + processing beat an entirely CPU solution? Doubly so if it is a huge model where the model cannot sit fully in RAM?

Depends on your CPU. I once tried 70b llama on 256 thread Epyc, it was around 1/10 of A100 (80GB) speed.
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