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Using mmap to make LLaMA load faster

justine.lol

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Re: Using mmap to make LLaMA load faster

#4
Since the post is from day, so the improvements were all ‘real’? I didn’t follow closely but I remember multiple points people brought up earlier like: is the memory counting correct, why aren’t all the weights accessed for a query, whether quantisation is a problem etc. Were all these fixed?

Re: Using mmap to make LLaMA load faster

#8
post #3

It’s hard to keep up with all developments around LLaMA. What’s the best RLHF alpaca like model you can download right now?

Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality by the Team with members from UC Berkeley, CMU, Stanford, and UC San Diego

https://vicuna.lmsys.org/

Re: Using mmap to make LLaMA load faster

#10

Worth pointing out, there has been quite a bit of contention around this change, both technical, and some accusations of plagiarism/miscrediting here. https://github.com/ggerganov/llama.cpp/pull/711

I feel significantly dumber for reading that merge request.

The one thing to understand is that the performance implications of mmap are subtle and only work when you have much more RAM than the files you're mapping in.

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