GPT4-X-Alpasta-30b-4bit
作者 askmyteapot ·
下载 0 · 点赞 4 · 更新 2023-11-02
My secret sauce:
- Using comit 3c16fd9 of 0cc4m's GPTQ fork
- Using C4 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 |
| MetaIX's FP16 |
6.98400259 |
4.607768536 |
9.414786339 |
| This Quant |
7.292364597 |
4.954069614 |
9.754593849 |