| ## 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| | |