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Model: SWE-Lego/SWE-Lego-Qwen3-8B Source: Original Platform
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---
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license: apache-2.0
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base_model:
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- Qwen/Qwen3-8B
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datasets:
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- SWE-Lego/SWE-Lego-Real-Data
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- SWE-Lego/SWE-Lego-Synthetic-Data
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---
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<h1 align="center"> SWE-Lego: Pushing the Limits of Supervised Fine-tuning for Software Issue Resolving </h1>
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<p align="center">
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<a href="https://huggingface.co/SWE-Lego" > 🤗 HF Dataset </a>
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•
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<a href="https://huggingface.co/SWE-Lego" > 🤗 SWE-Lego-Qwen3-8B/32B</a>
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•
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<a href="https://github.com/SWE-Lego/SWE-Lego" > 🧑💻 Code</a>
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•
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<a href="https://arxiv.org/abs/2601.01426" > 📖 Paper</a>
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</p>
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<div align="center">
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[](https://github.com/SWE-Lego/SWE-Lego)
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[](https://huggingface.co/SWE-Lego)
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[](https://mp.weixin.qq.com/s/OQK9RsOjfdM1pgSe75ubdw)
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[](https://swe-lego.github.io/)
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</div>
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<p align="center">
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<br>
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<img src="overview.png" width="1000"/>
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<br>
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</p>
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We present **SWE-Lego**, a supervised fine-tuning (SFT) recipe designed to achieve state-of-the-art performance in software engineering (SWE) issue resolving. SWE-Lego comprises three core building blocks:
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- the **SWE-Lego dataset**, a collection of _32k_ highquality task instances and _18k_ validated trajectories, combining real and synthetic data to complement each other in both quality and quantity;
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- a **refined SFT** procedure with error masking and a difficulty-based curriculum, which demonstrably improves action quality and overall performance;
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- a **well-trained verifier** for improving test-time scaling (TTS).
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Our fine-tuned models are trained exclusively with SFT from [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) and [Qwen3-32B](https://huggingface.co/Qwen/Qwen3-32B). Their effectiveness is demonstrated on SWE-Bench-Verified:
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- **[SWE-Lego-Qwen3-8B](https://huggingface.co/SWE-Lego/SWE-Lego-Qwen3-8B)**: **42.2%** Pass@1, **49.6%** TTS@16
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- **[SWE-Lego-Qwen3-32B](https://huggingface.co/SWE-Lego/SWE-Lego-Qwen3-32B)**: **52.6%** Pass@1, **58.8%** TTS@16
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We’ve open-sourced everything—our dataset, code, and training scripts, for everyone to progress on scaling and improving software engineering agents.
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## Reproduction Guide 🎯
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### 1. 📦 Installation
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```bash
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git clone https://github.com/SWE-Lego/SWE-Lego.git
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```
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#### 1.1 Installing vllm environment
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```bash
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conda create -n vllm python=3.12 -y
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conda activate vllm
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pip install vllm
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```
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#### 1.2 Installing openhands environment
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You can refer to the [Development Guide](https://github.com/OpenHands/OpenHands/blob/main/Development.md) from [Openhands](https://github.com/All-Hands-AI/OpenHands).
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```bash
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cd SWE-Lego/OpenHands-0.53.0
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conda create -n openhands python=3.12 -y
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conda activate openhands
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conda install -c conda-forge nodejs=24.4.1
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conda install -c conda-forge poetry=2.1.4
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pip install python-dateutil==2.9.0.post0
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poetry run pip install datasets
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make build
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```
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#### 1.3 Installing swebench environment
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```bash
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cd SWE-Lego/SWE-bench-4.0.4
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conda create -n swebench python=3.12 -y
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conda activate swebench
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pip install -e .
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```
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#### 1.4 Installing llamafactory environment
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```bash
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cd SWE-Lego/LLaMA-Factory-0.9.4.dev0
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conda create -n lf python=3.12 -y
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conda activate lf
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pip install torch==2.8.0 torchvision==0.23.0 torchaudio==2.8.0 --index-url https://download.pytorch.org/whl/cu128
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pip install -e ".[torch,metrics,deepspeed,liger-kernel]" --no-build-isolation
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# install flash-attn
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wget https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.8cxx11abiFALSE-cp312-cp312-linux_x86_64.whl
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pip install flash_attn-2.8.3+cu12torch2.8cxx11abiFALSE-cp312-cp312-linux_x86_64.whl
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pip install wandb
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```
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### 🤖 2. Inference and Evaluation of SWE-Lego-Qwen3-8B/32B
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We take the SWE-Lego-Qwen3-32B for an example.
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#### 2.1 Serving the model via vllm
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```bash
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bash scripts/swe_lego_qwen3_32b/serve_vllm.sh
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```
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#### 2.2 Running inference via openhands
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```bash
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bash scripts/swe_lego_qwen3_32b/infer.sh
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```
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#### 2.3 Running evaluation via swebench
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```bash
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bash scripts/swe_lego_qwen3_32b/eval.sh
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```
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### 🔥 3. Training of SWE-Lego-Qwen3-8B/32B
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#### 3.1 Downloading trajectories for SFT from Hugging Face
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Save the downloaded trajectories to `LLaMA-Factory-0.9.4.dev0/data`
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```python
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import json
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from datasets import load_dataset
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datasets = [
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{
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"name": "SWE-Lego/SWE-Lego-Real-Data",
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"filename": "swe_lego_real_data_resolved_trajectories.json"
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},
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{
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"name": "SWE-Lego/SWE-Lego-Synthetic-Data",
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"filename": "swe_lego_synthetic_data_resolved_trajectories.json"
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}
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]
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for config in datasets:
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ds = load_dataset(config["name"], split="resolved")
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processed_ds = ds.select_columns(["instance_id", "messages"])
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data_list = processed_ds.to_list()
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with open(config["filename"], "w", encoding="utf-8") as f:
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json.dump(data_list, f, ensure_ascii=False, indent=4)
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print(f"Saved {len(data_list)} records to {config['filename']}")
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```
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#### 3.2 Running SFT via llamafactory
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```bash
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bash scripts/swe_lego_qwen3_8b/sft.sh
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bash scripts/swe_lego_qwen3_32b/sft.sh
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```
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## Acknowledgements
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This project acknowledges the valuable contributions of the following open-source repositories:
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- **SWE-bench**: [https://github.com/princeton-nlp/SWE-bench](https://github.com/princeton-nlp/SWE-bench) - A benchmark for evaluating AI agents' software engineering capabilities, which informed the evaluation design of this project.
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- **OpenHands**: [https://github.com/All-Hands-AI/OpenHands](https://github.com/All-Hands-AI/OpenHands) - Provides core logic for AI agent interaction and runtime management, referenced in this project's execution modules.
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- **LLaMA Factory**: [https://github.com/hiyouga/LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) - Offers LLM fine-tuning and prompt processing utilities, used to enhance this project's language model interaction capabilities.
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## Citation 📝
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Please cite our paper if you find the repo helpful in your work:
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```bibtex
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@misc{swelego,
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title={SWE-Lego: Pushing the Limits of Supervised Fine-tuning for Software Issue Resolving},
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author={Chaofan Tao and Jierun Chen and Yuxin Jiang and Kaiqi Kou and Shaowei Wang and Ruoyu Wang and Xiaohui Li and Sidi Yang and Yiming Du and Jianbo Dai and Zhiming Mao and Xinyu Wang and Lifeng Shang and Haoli Bai},
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year={2026},
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eprint={2601.01426},
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archivePrefix={arXiv},
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primaryClass={cs.SE},
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url={https://arxiv.org/abs/2601.01426},
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}
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```
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}
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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||||||
|
{%- endfor %}
|
||||||
|
{%- endif %}
|
||||||
|
{{- '<|im_end|>\n' }}
|
||||||
|
{%- elif message.role == "tool" %}
|
||||||
|
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
||||||
|
{{- '<|im_start|>user' }}
|
||||||
|
{%- endif %}
|
||||||
|
{{- '\n<tool_response>\n' }}
|
||||||
|
{{- content }}
|
||||||
|
{{- '\n</tool_response>' }}
|
||||||
|
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||||
|
{{- '<|im_end|>\n' }}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endfor %}
|
||||||
|
{%- if add_generation_prompt %}
|
||||||
|
{{- '<|im_start|>assistant\n' }}
|
||||||
|
{%- if enable_thinking is defined and enable_thinking is false %}
|
||||||
|
{{- '<think>\n\n</think>\n\n' }}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endif %}
|
||||||
72
config.json
Normal file
72
config.json
Normal file
@@ -0,0 +1,72 @@
|
|||||||
|
{
|
||||||
|
"architectures": [
|
||||||
|
"Qwen3ForCausalLM"
|
||||||
|
],
|
||||||
|
"attention_bias": false,
|
||||||
|
"attention_dropout": 0.0,
|
||||||
|
"bos_token_id": 151643,
|
||||||
|
"eos_token_id": 151645,
|
||||||
|
"head_dim": 128,
|
||||||
|
"hidden_act": "silu",
|
||||||
|
"hidden_size": 4096,
|
||||||
|
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|
||||||
|
"intermediate_size": 12288,
|
||||||
|
"layer_types": [
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
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|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention"
|
||||||
|
],
|
||||||
|
"max_position_embeddings": 163840.0,
|
||||||
|
"max_window_layers": 36,
|
||||||
|
"model_type": "qwen3",
|
||||||
|
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|
||||||
|
"num_hidden_layers": 36,
|
||||||
|
"num_key_value_heads": 8,
|
||||||
|
"rms_norm_eps": 1e-06,
|
||||||
|
"rope_scaling": {
|
||||||
|
"factor": 4.0,
|
||||||
|
"original_max_position_embeddings": 40960,
|
||||||
|
"rope_type": "yarn"
|
||||||
|
},
|
||||||
|
"rope_theta": 1000000,
|
||||||
|
"sliding_window": null,
|
||||||
|
"tie_word_embeddings": false,
|
||||||
|
"torch_dtype": "bfloat16",
|
||||||
|
"transformers_version": "4.55.0",
|
||||||
|
"use_cache": false,
|
||||||
|
"use_sliding_window": false,
|
||||||
|
"vocab_size": 151936
|
||||||
|
}
|
||||||
13
generation_config.json
Normal file
13
generation_config.json
Normal file
@@ -0,0 +1,13 @@
|
|||||||
|
{
|
||||||
|
"bos_token_id": 151643,
|
||||||
|
"do_sample": true,
|
||||||
|
"eos_token_id": [
|
||||||
|
151645,
|
||||||
|
151643
|
||||||
|
],
|
||||||
|
"pad_token_id": 151643,
|
||||||
|
"temperature": 0.6,
|
||||||
|
"top_k": 20,
|
||||||
|
"top_p": 0.95,
|
||||||
|
"transformers_version": "4.55.0"
|
||||||
|
}
|
||||||
151388
merges.txt
Normal file
151388
merges.txt
Normal file
File diff suppressed because it is too large
Load Diff
3
model-00001-of-00004.safetensors
Normal file
3
model-00001-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
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||||||
|
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|
||||||
|
size 4902257696
|
||||||
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Normal file
3
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Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
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||||||
|
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|
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|
size 4915960368
|
||||||
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Normal file
3
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Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
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||||||
|
oid sha256:5e37858dcea0ba2f09c1ceb31653954b931bb26aae19a36dfd42ec20b7fd73ba
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||||||
|
size 4983068496
|
||||||
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Normal file
3
model-00004-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
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||||||
|
oid sha256:3e72363dc515d1a9bce79730bf36eb1434676079550b08b024e80d0b2c90e06c
|
||||||
|
size 1580230264
|
||||||
407
model.safetensors.index.json
Normal file
407
model.safetensors.index.json
Normal file
@@ -0,0 +1,407 @@
|
|||||||
|
{
|
||||||
|
"metadata": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
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||||||
3
overview.png
Normal file
3
overview.png
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
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||||||
|
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||||||
|
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|
||||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
|||||||
|
{
|
||||||
|
"additional_special_tokens": [
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
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|
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|
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|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
240
tokenizer_config.json
Normal file
240
tokenizer_config.json
Normal file
@@ -0,0 +1,240 @@
|
|||||||
|
{
|
||||||
|
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|
||||||
|
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|
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|
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||||||
|
"content": "<tool_call>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151658": {
|
||||||
|
"content": "</tool_call>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151659": {
|
||||||
|
"content": "<|fim_prefix|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151660": {
|
||||||
|
"content": "<|fim_middle|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151661": {
|
||||||
|
"content": "<|fim_suffix|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151662": {
|
||||||
|
"content": "<|fim_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151663": {
|
||||||
|
"content": "<|repo_name|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151664": {
|
||||||
|
"content": "<|file_sep|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151665": {
|
||||||
|
"content": "<tool_response>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151666": {
|
||||||
|
"content": "</tool_response>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151667": {
|
||||||
|
"content": "<think>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151668": {
|
||||||
|
"content": "</think>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<|im_start|>",
|
||||||
|
"<|im_end|>",
|
||||||
|
"<|object_ref_start|>",
|
||||||
|
"<|object_ref_end|>",
|
||||||
|
"<|box_start|>",
|
||||||
|
"<|box_end|>",
|
||||||
|
"<|quad_start|>",
|
||||||
|
"<|quad_end|>",
|
||||||
|
"<|vision_start|>",
|
||||||
|
"<|vision_end|>",
|
||||||
|
"<|vision_pad|>",
|
||||||
|
"<|image_pad|>",
|
||||||
|
"<|video_pad|>"
|
||||||
|
],
|
||||||
|
"bos_token": null,
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "<|im_end|>",
|
||||||
|
"errors": "replace",
|
||||||
|
"extra_special_tokens": {},
|
||||||
|
"model_max_length": 131072,
|
||||||
|
"pad_token": "<|endoftext|>",
|
||||||
|
"padding_side": "right",
|
||||||
|
"split_special_tokens": false,
|
||||||
|
"tokenizer_class": "Qwen2Tokenizer",
|
||||||
|
"unk_token": null
|
||||||
|
}
|
||||||
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:253cb88d09dfad6399b719d3bb701b375d4a4a42f8d297bd11d9005b5df88f1d
|
||||||
|
size 8337
|
||||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user