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This is a 4bit quant of https://huggingface.co./Aeala/GPT4-x-AlpacaDente2-30b
My secret sauce:
- Using comit 3c16fd9 of 0cc4m's GPTQ fork
- Using PTB as the calibration dataset
- Act-order, True-sequential, percdamp 0.1 (the default percdamp is 0.01)
- No groupsize
- Will run with CUDA, does not need triton.
- Quant completed on a 'Premium GPU' and 'High Memory' Google Colab.
Benchmark results
| Model | C4 | WikiText2 | PTB |
|---|---|---|---|
| Aeala's FP16 | 7.05504846572876 | 4.662261962890625 | 24.547462463378906 |
| This Quant | 7.326207160949707 | 4.957101345062256 | 24.941526412963867 |
| Aeala's Quant here | 7.332120418548584 | 5.016242980957031 | 25.576189041137695 |
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