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Abacus-cve-v1.1
Luoberta/Abacus-cve-v1.1
Abacus-cve-v1.1 is a text generation model from Luoberta. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
Abacus-cve-v1.1 is an iterative version of Abacus-cve, fine-tuned on an expanded dataset for security vulnerability fixing tasks.
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- qwen3
- Access
- Public
- Created
- Mar 26, 2026
- Updated
- Mar 27, 2026
- SHA
- 0c70139b
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Model card
From the Hugging Face model README
Abacus-cve-v1.1
Abacus-cve-v1.1 is an iterative version of Abacus-cve, fine-tuned on an expanded dataset for security vulnerability fixing tasks.
What's New in v1.1
Compared to Abacus-cve, this version is trained on an expanded dataset:
- +3k agentic task in cve_tasks_3k_compressed
- 18.8k total training samples (up from ~4k in v1.0)
- Training dataset: Luoberta/cve_train_v1.1
Model Description
Abacus-cve-v1.1 is based on Qwen3-32B and fine-tuned from scratch using 18.8k distilled agent traces from CVE reproduction tasks. The traces were generated using Claude Opus 4.5 with a Mini SWE-Agent harness through the CVE-Factory pipeline.
Training Results
Evaluated on LiveCVEBench-verified and PatchEval-verified with temperature=0.6, avg@5:
| Model | LiveCVEBench | PatchEval | Terminal-Bench-2.0 | Avg |
|---|---|---|---|---|
| Qwen3-32B (base) | 8.96 ± 1.75 | 5.64 ± 1.37 | 5.41 ± 1.70 | 6.67 |
| Abacus-cve (v1.0) | 36.50 ± 1.52 | 21.94 ± 1.46 | 20.14 ± 2.68 | 26.19 |
| Abacus-cve-v1.1 (Ours) | 40.33 ± 1.36 | 24.32 ± 0.76 | 21.57 ± 1.67 | 28.74 |
| Qwen3-Coder-30B | 11.29 ± 1.36 | 9.25 ± 0.95 | 11.01 ± 2.43 | 10.51 |
| Qwen3-Coder-480B | 29.14 ± 0.26 | 18.06 ± 0.72 | 25.17 ± 2.04 | 24.12 |
| MiniMax-M2 | 40.44 ± 1.42 | 25.11 ± 0.92 | 48.31 ± 2.44 | 31.28 |
| Kimi-K2.5 | 44.48 ± 1.32 | 32.07 ± 1.40 | 41.44 ± 3.12 | 39.33 |
| GPT-5.4 | 40.98 ± 1.62 | 32.95 ± 0.85 | 32.81 ± 2.16 | 35.58 |
| Claude Sonnet 4 | 34.79 ± 0.83 | 24.76 ± 1.98 | 26.52 ± 2.59 | 28.69 |
| Claude Sonnet 4.5 | 44.92 ± 2.71 | 29.16 ± 1.46 | 41.35 ± 1.38 | 38.47 |
| Claude Opus 4.5 | 51.58 ± 1.64 | 35.68 ± 1.00 | 60.67 ± 2.50 | 49.31 |
Key findings:
- v1.1 vs v1.0: +3.83 on LiveCVEBench, +2.38 on PatchEval, +1.43 on Terminal-Bench-2.0
- Scaling potential: Performance gains from 4k to 18.8k traces demonstrate continued improvement with more data, suggesting further scaling could yield additional gains
- Competitive performance: Matches Claude Sonnet 4 level on security tasks with a 32B model
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("Luoberta/Abacus-cve-v1.1")
tokenizer = AutoTokenizer.from_pretrained("Luoberta/Abacus-cve-v1.1")
Related Resources
- Abacus-cve (v1.0) - Original version
- Leaderboard - Live rankings on LiveCVEBench
- LiveCVEBench - Security vulnerability benchmark
- CVE-Factory - The multi-agent system that generated training traces
- cve_train_v1.1 Dataset - Training data (18.8k agent traces)
Citation
@misc{luo2026cvefactory,
title={CVE-Factory: Scaling Expert-Level Agentic Tasks for Code Security Vulnerability},
author={Xianzhen Luo and Jingyuan Zhang and Shiqi Zhou and Rain Huang and Chuan Xiao and Qingfu Zhu and Zhiyuan Ma and Xing Yue and Yang Yue and Wencong Zeng and Wanxiang Che},
year={2026},
eprint={2602.03012},
archivePrefix={arXiv},
primaryClass={cs.CR},
url={https://arxiv.org/abs/2602.03012}
}
- Task
- Text Generation
- Library
- transformers
- Type
- qwen3
- License
- mit
- Languages
- en
- Created
- Mar 26, 2026
- Updated
- Mar 27, 2026