text: Title: Importance of dataset used during quantisation?
  Body: Something I don't yet understand in GPTQ is the significance of the dataset used for quantisation?
  
  In Qwopqwop's GPTQ-for-LLaMa, the examples use `c4`. I've also seen him use `wikitext2` and `ptb`.  
  
  But now AutoGPTQ has an example that uses the Alpaca instruction/response data.
  
  Are there benchmarks to indicate which dataset is best to use for quantisation? Or does it depend on the type of model being quantised, or the expected use case of the model?
  
  Thanks in advance!