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

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1311 points msoad | 1 comments | 31 Mar 23 20:37 UTC | HN request time: 0.259s | source
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detrites ◴[31 Mar 23 20:58 UTC] No.35393558[source]▶
The pace of collaborative OSS development on these projects is amazing, but the rate of optimisations being achieved is almost unbelievable. What has everyone been doing wrong all these years cough sorry, I mean to say weeks?

Ok I answered my own question.

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politician ◴[31 Mar 23 21:25 UTC] No.35393885[source]▶
Roughly: OpenAIs don’t employ enough jarts.

In other words, the groups of folks working on training models don’t necessarily have access to the sort of optimization engineers that are working in other areas.

When all of this leaked into the open, it caused a lot of people knowledgeable in different areas to put their own expertise to the task. Some of those efforts (mmap) pay off spectacularly. Expect industry to copy the best of these improvements.

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bee_rider ◴[31 Mar 23 21:32 UTC] No.35393957[source]▶
The professional optimizes well enough to get management off their back, the hobbyist can be irrationally good.
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1. fallous ◴[31 Mar 23 23:47 UTC] No.35395341[source]▶
The professional operates within prioritization tranches. Make it work, make it reliable, make it fast, make it pretty. If you're still iterating on proof-of-concept/prototyping you'll generally confine yourself to the first and/or second levels. Once you've settled on a finalized prototype you then follow the rest of the prioritization levels to achieve shippable product.