this post was submitted on 12 Jun 2023
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LocalLLaMA
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Community to discuss about LLaMA, the large language model created by Meta AI.
This is intended to be a replacement for r/LocalLLaMA on Reddit.
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What do you even run a 65b model on?
With a quantized GGML version you can just run on it on CPU if you have 64GB RAM. It is fairly slow though, I get about 800ms/token on a 5900X. Basically you start it generating something and come back in 30minutes or so. Can't really carry on a conversation.
Is it smart enough that it can get the thread of what you are looking for without as much rerolling or handholding, so this comes out better?
That's the impression I got from playing with it. I don't really use LLMs for anything practical, so I haven't done anything too serious with it. Here's are a couple examples of having it write fiction: https://gist.github.com/KerfuffleV2/4ead8be7204c4b0911c3f3183e8a320c
I also tried with plain old llama-65B: https://gist.github.com/KerfuffleV2/46689e097d8b8a6b3a5d6ffc39ce7acd
You can see it makes some weird mistakes (although the writing style itself is quite good).
If you want to give me a prompt, I can feed it to guanaco-65B and show you the result.
These are, indeed, pretty good, and quite coherent.
I was pretty impressed by guanaco-65B, especially how it was able to remain coherent even way past the context limit (with llama.cpp's context wrapping thing). You can see the second story is definitely longer than 2,048 tokens.