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license: mit
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🚀 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-9B is trained from [glm-4-9B-chat](https://huggingface.co/THUDM/glm-4-9b-chat/)
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-Coder-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-Coder-32B-Instruct): https://huggingface.co/THUDM/SWE-Dev-32B/
- SWE-Dev-train: https://huggingface.co/datasets/THUDM/SWE-Dev-train/ |