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--- |
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license: apache-2.0 |
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base_model: |
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- Qwen/Qwen2.5-1.5B-Instruct |
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tags: |
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- safety |
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- alignment |
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--- |
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# Qwen2.5-1.5B-Instruct-EASE |
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This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on the [EASE-SafetyReasoning](https://huggingface.co/datasets/HaonanShi/EASE-STAR41K-SafetyReasoning-10K) dataset. |
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## Model description |
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This is the safety reasoning aligned version model under the framework,[**EASE**](https://arxiv.org/pdf/2511.06512). We fine-tune Qwen2.5-1.5B-Instruct to enable **adaptive safety reasoning activation**. The model triggers explicit safety reasoning only under jailbreak-like semantics, while avoiding unnecessary safety reasoning on benign or general prompts. This design aims to maintain the model’s general task effectiveness and efficiency, while improving robustness against jailbreak attacks. |
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## Intended use |
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Safety-oriented research on:(1)Safety alignment, (2)Small language models and (3)Jailbreak robustness |
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## Citation |
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If our model could help you, please cite our paper, thanks!🤗 |
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**EASE: Practical and Efficient Safety Alignment for Small Language Models(AAAI26)(oral)** |
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https://arxiv.org/pdf/2511.06512 |
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