README.md

---
license: apache-2.0
language:
- zh
pipeline_tag: text-generation
---
---
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<h2>📈 CFGPT: Chinese Financial Assistant with Large Language Model (CFGPT1-pt-7b)</h2>
</div>

## Introduction

We introduce **CFGPT**, an open-source language model trained by firstly further pretraining general LLMs on collected and cleaned Chinese finance text data (CFData-pt), including financial domain-specific data (announcement, finance articles, finance exams, finance news, finance research papers) and general data (Wikipedia), and secondly fine-tuning with knowledge-intensive instruction tuning data (CFData-sft). 
As for preliminary evaluation, we use CFBenchmark-Basic. 
CFGPT outperforms the baselines on objective and subjective tasks compared to several baseline models with similar parameters. 

In this repository, we will share the further pretrained model.

- [Pretrained Model](https://huggingface.co/TongjiFinLab/CFGPT1-pt-7B): Full model weights after further pretraining with the chinese finance text corpus to comply with the InternLM model license. 

## How to Use

The CFGPT1-pt-7b is a pre-trained model, which has not undergone supervised fine-tuning with a instruction data. Therefore, it is not advisable to use this model for financial tasks.
Please refer to [CFGPT]() Github repo for further usage.

## 简介

**CFGPT**是一个开源的语言模型，首先通过在收集和清理的中国金融文本数据（CFData-pt）上进行继续预训练，包括金融领域特定数据（公告、金融文章、金融考试、金融新闻、金融研究论文）和通用数据（维基百科），然后使用知识密集的指导调整数据（CFData-sft）进行微调。
我们使用CFBenchmark-Basic进行初步评估。与几个具有相似参数的基线模型相比，CFGPT在识别，分类和生成任务上表现优越。

在这个仓库中，我们将分享以下继续预训练的模型。

- [Pretrained Model](https://huggingface.co/TongjiFinLab/CFGPT1-pt-7B): 在中国金融文本语料库上进行进一步预训练且符合InternLM模型许可的完整模型权重。

## 如何使用

这个模型是一个预训练的模型，还没有经历过指令数据库的有监督微调，因此不建议使用该模型执行相关金融任务。
具体使用，请参考[CFGPT]()的Github仓库。