7B

README.md

@@ -1,51 +1,47 @@
----
-frameworks:
-- Pytorch
-license: Apache License 2.0
-tasks:
-- text-generation
+# Lingma SWE-GPT: Software Engineering Large Language Model
 
-#model-type:
-##如 gpt、phi、llama、chatglm、baichuan 等
-#- gpt
+## Overview
 
-#domain:
-##如 nlp、cv、audio、multi-modal
-#- nlp
+Lingma SWE-GPT is an open-source large language model specifically designed for software engineering tasks. Built upon the foundation of the Qwen series base models, Lingma SWE-GPT has undergone additional training using software engineering development process data to enhance its capabilities in solving complex software engineering tasks.
 
-#language:
-##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
-#- cn 
+## Model Introduction
 
-#metrics:
-##如 CIDEr、Blue、ROUGE 等
-#- CIDEr
+Lingma SWE-GPT is a specialized model that focuses on addressing the unique challenges faced in software engineering. By leveraging the robust capabilities of the Qwen base models and incorporating domain-specific knowledge, this model aims to provide intelligent assistance across various aspects of software development.
 
-#tags:
-##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
-#- pretrained
 
-#tools:
-##如 vllm、fastchat、llamacpp、AdaSeq 等
-#- vllm
----
-### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
-#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型
+## Model Performance
 
-SDK下载
-```bash
-#安装ModelScope
-pip install modelscope
+Lingma SWE-GPT has demonstrated impressive performance in software engineering tasks:
+
+- Achieved a **30.20%(72B) and **18.20%(7B) solution rate on the authoritative SWE-bench Verified** leaderboard for software engineering intelligent agents.
+- Outperforms other open-source models of similar scale in software engineering-specific tasks.
+
+## How to use
+Refer to https://github.com/LingmaTongyi/Lingma-SWE-GPT
+
+## TODO
+Currently only Python is supported. In future updates, we will provide more support for Java, JS/TS and other languages.
+
+## License
+
+This project is licensed under the GNU General Public License v2.0 (GPL-2.0).
+
+## Contact
+
+For any questions or feedback regarding Lingma SWE-GPT, please contact:
+
+mayingwei.myw@alibaba-inc.com
+
+## Acknowledgments
+
+We would like to thank the Qwen team for their foundational work, which has been instrumental in the development of Lingma SWE-GPT.
+
+## Citation
 ```
-```python
-#SDK模型下载
-from modelscope import snapshot_download
-model_dir = snapshot_download('Lingma/Lingma-SWE-GPT-7B')
+@article{ma2024understand,
+  title={How to Understand Whole Software Repository?},
+  author={Ma, Yingwei and Yang, Qingping and Cao, Rongyu and Li, Binhua and Huang, Fei and Li, Yongbin},
+  journal={arXiv preprint arXiv:2406.01422},
+  year={2024}
+}
 ```
-Git下载
-```
-#Git模型下载
-git clone https://www.modelscope.cn/Lingma/Lingma-SWE-GPT-7B.git
-```
-
-<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>