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license: mit |
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language: |
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- en |
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- zh |
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## Introduction |
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The ShieldLM model ([paper link](https://arxiv.org/abs/2402.16444)) initialized from [internlm2-chat-7b](https://huggingface.co/internlm/internlm2-chat-7b). ShieldLM is a bilingual (Chinese and English) safety detector that mainly aims to help to detect safety issues in LLMs' generations. It aligns with general human safety standards, supports fine-grained customizable detection rules, and provides explanations for its decisions. |
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Refer to our [github repository](https://github.com/thu-coai/ShieldLM) for more detailed information. |
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## Usage |
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Please refer to our [github repository](https://github.com/thu-coai/ShieldLM) for the detailed usage instructions. |
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## Performance |
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ShieldLM demonstrates impressive detection performance across 4 ID and OOD test sets, compared to strong baselines such as GPT-4, Llama Guard and Perspective API. |
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Refer to [our paper](https://arxiv.org/abs/2402.16444) for more detailed evaluation results. |
