license: apache-2.0
language:
- zh
tags:
- Chinese
Open-Chinese-LLaMA-7B-Patch
This model is a Chinese large language model base generated from the LLaMA-7B model after secondary pre-training on Chinese datasets.
This model is a patch model and must be used in conjunction with the official weights. For the installation of the patch and related tutorials, please refer to OpenLMLab/OpenChineseLLaMA.
Usage
Since the official weights for LLaMA-7B have not been open-sourced, the model released this time is of the patch type, which needs to be used in combination with the original official weights.
You can install the patch using tools/patch_model.py, for example:
python tools/patch_model.py --base_model <path_or_name_to_original_model>
--patch_model openlmlab/open-chinese-llama-7b-patch
--base_model_format <hf_or_raw>
The patch is installed in place, which means that the installed patch is the complete hf format weight. You can use transformers to load the model.
Quick Experience via Command Line
The patched model can be easily loaded by transformers. For a quick experience, we provide a console Demo:
python cli_demo.py --model openlmlab/open-chinese-llama-7b-patch
--devices 0
--max_length 1024
--do_sample true
--top_k 40
--top_p 0.8
--temperature 0.7
--penalty 1.02