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## This is a 4bit quant of https://huggingface.co/Aeala/GPT4-x-AlpacaDente2-30b
# My secret sauce:
* Using comit <a href="https://github.com/0cc4m/GPTQ-for-LLaMa/tree/3c16fd9c7946ebe85df8d951cb742adbc1966ec7">3c16fd9</a> of 0cc4m's GPTQ fork
* Using PTB 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>|
|:---:|---|---|---|
|Aeala's FP16|7.05504846572876|4.662261962890625|24.547462463378906|
|This Quant|7.326207160949707|4.957101345062256|24.941526412963867|
|Aeala's Quant <a href="https://huggingface.co/Aeala/GPT4-x-AlpacaDente2-30b/resolve/main/4bit.safetensors">here</a>|7.332120418548584|5.016242980957031|25.576189041137695|
|