| license: mit | |
| base_model: | |
| - Qwen/Qwen2.5-Coder-32B-Instruct | |
| library_name: transformers | |
| 🚀 SWE-Dev, an open-source Agent for Software Engineering tasks! | |
| 💡 We develop a comprehensive pipeline for creating developer-oriented datasets from GitHub repositories, including issue tracking, code localization, test case generation, and evaluation. | |
| 🔧 Based on open-source frameworks (OpenHands) and models, SWE-Dev-7B and 32B achieved solve rates of 23.4% and 36.6% on SWE-bench-Verified, respectively, even approaching the performance of GPT-4o. | |
| 📚 We find that training data scaling and inference scaling can both effectively boost the performance of models on SWE-bench. Moreover, higher data quality further improves this trend when combined with reinforcement fine-tuning (RFT). For inference scaling specifically, the solve rate on SWE-Dev increased from 34.0% at 30 rounds to 36.6% at 75 rounds. | |
| SWE-Dev-32B is trained from [Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct)** | |
| Notion Link: https://ubecwang.notion.site/1bc32cf963e080b2a01df2895f66021f?v=1bc32cf963e0810ca07e000c86c4c1e1 | |
| GitHub Link: https://github.com/THUDM/SWE-Dev | |
| Hugging Face Link: | |
| - SWE-Dev-7B (Qwen-2.5-7B-Instruct): https://huggingface.co/THUDM/SWE-Dev-7B/ | |
| - SWE-Dev-9B (GLM-4-9B-Chat): https://huggingface.co/THUDM/SWE-Dev-9B/ | |
| - SWE-Dev-32B (Qwen-2.5-32B-Instruct): https://huggingface.co/THUDM/SWE-Dev-32B/ | |
| - SWE-Dev-train: https://huggingface.co/datasets/THUDM/SWE-Dev-train/ |