AutoGPTQ vs GPTQ-for-llama?

• exllama

  64 2,582 9.0 Python

  A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.

You might want to take a look at https://github.com/turboderp/exllama

• GPTQ-for-LLaMa

  19 129 7.7 Python

  4 bits quantization of LLaMa using GPTQ (by oobabooga)

If you don't have triton and you use AutoGPTQ you're gonna notice a huge slow down compared to the old GPTQ-for-LLaMA cuda branch. For me AutoGPTQ gives me a whopping 1 token per second compared to the old GPTQ that gives me a decent 9 tokens per second.. both times I used a same sized model. (I think the slowdown is due to AutoGPTQ using the newer cuda branch which is much slower than the old one)

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