this post was submitted on 26 Jul 2023
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LocalLLaMA
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Community to discuss about LLaMA, the large language model created by Meta AI.
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https://github.com/ggerganov/llama.cpp#quantization
https://github.com/ggerganov/llama.cpp/pull/1684
Regarding your question: 13B 2_K seems to be on par with 7B 16bit and 8bit. Not much of a difference between all those. (Look at the perplexity values. Lower is better.) The second link has a nice graph.
Most people don't go as low as 2bit though. It's considerably worse than 4bit.
That graph is great. Very easy to understand. Thank you!
These are good sources, to add one more, the GPTQ paper talks a lot about perplexity at several quantization and model sizes:
https://arxiv.org/abs/2210.17323