## This is a 4bit quant of https://huggingface.co/MetaIX/GPT4-X-Alpasta-30b



# My secret sauce:
  * Using comit <a href="https://github.com/0cc4m/GPTQ-for-LLaMa/tree/3c16fd9c7946ebe85df8d951cb742adbc1966ec7">3c16fd9</a> of 0cc4m's GPTQ fork
  * Using C4 as the calibration dataset    
  * Act-order, True-sequential, percdamp 0.1
     (<i>the default percdamp is 0.01</i>)
  * No groupsize
  * Will run with CUDA, does not need triton.
  * Quant completed on a 'Premium GPU' and 'High Memory' Google Colab.

## Benchmark results

|<b>Model<b>|<b>C4<b>|<b>WikiText2<b>|<b>PTB<b>|
|:---:|---|---|---|
|MetaIX's FP16|6.98400259|4.607768536|9.414786339|
|This Quant|7.292364597|4.954069614|9.754593849|