| # Chinese-Alpaca-7B-GPTQ | |
| Chinese-Alpaca-7B-GPTQ is based on the [Chinese-LLaMA-Alpaca](https://github.com/ymcui/Chinese-LLaMA-Alpaca) model, and was quantized using [GPTQ](https://github.com/IST-DASLab/gptq) for faster inference with reduced memory requirements. | |
| We used [bigscience-data/roots_zh-cn_wikipedia](https://huggingface.co/datasets/bigscience-data/roots_zh-cn_wikipedia) for calibration. | |
| ## Usage | |
| To use Chinese-Alpaca-7B-GPTQ, you will need to use the [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa) repository to load the model. | |
| ``` | |
| python llama_inference.py ./chinese-alpaca-7b-gptq --wbits 4 --groupsize 128 --load chinese-alpaca-7b-gptq/llama7b-4bit-128g.pt --text "### Instruction: 为什么苹果支付 没有在中国流行？\n\n### Response:" | |
| ``` | |
| ## Acknowledgments | |
| We would like to thank the original authors of above-mentioned projects for their contributions to the NLP community. | |