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Llama.cpp 30B runs with only 6GB of RAM now

(github.com)
1311 points msoad | 1 comments | 31 Mar 23 20:37 UTC | HN request time: 0.229s | source
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jart ◴[31 Mar 23 21:02 UTC] No.35393615[source]▶
Author here. For additional context, please read https://github.com/ggerganov/llama.cpp/discussions/638#discu... The loading time performance has been a huge win for usability, and folks have been having the most wonderful reactions after using this change. But we don't have a compelling enough theory yet to explain the RAM usage miracle. So please don't get too excited just yet! Yes things are getting more awesome, but like all things in science a small amount of healthy skepticism is warranted.
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intelVISA ◴[31 Mar 23 22:03 UTC] No.35394288[source]▶
Didn't expect to see two titans today: ggerganov AND jart. Can ya'll slow down you make us mortals look bad :')

Seeing such clever use of mmap makes me dread to imagine how much Python spaghetti probably tanks OpenAI's and other "big ML" shops' infra when they should've trusted in zero copy solutions.

Perhaps SWE is dead after all, but LLMs didn't kill it...

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1. amrb ◴[05 Apr 23 15:44 UTC] No.35456064[source]▶
For the life of me I could never fix torch.load, they'll say just quantization (convert) a model to 4/8bit to make it smaller but you'll get crashes when out of system memory plus no docs.. then you admit defeat by using more swapfile :S