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@@ -76,7 +76,7 @@ Large Language Models (LLMs) have demonstrated remarkable versatility in recent
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  Effect of _Primus-Reasoning_ fine-tuning, evaluated on CISSP. ↑ indicates the percentage improvement over Llama without CoT and in the 5-shot setting. The best improvement is highlighted in **bold**.
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  ## About _Primus_
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- Primus is Trend Micro's pioneering family of lightweight, state-of-the-art open cybersecurity language models and datasets. Developed through our cutting-edge research initiatives and advanced technology, these resources share the innovative foundation that powers our enterprise-class Trend Cybertron solution. As an industry leader in cybersecurity, Trend Micro is proud to contribute these powerful, efficiency-optimized models and datasets to the community, while maintaining the excellence and reliability that define our global security standards.
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  ## License
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  This model is based on the MIT license, but you must also comply with the Llama 3.1 Community License Agreement.
 
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  Effect of _Primus-Reasoning_ fine-tuning, evaluated on CISSP. ↑ indicates the percentage improvement over Llama without CoT and in the 5-shot setting. The best improvement is highlighted in **bold**.
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  ## About _Primus_
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+ Primus is Trend Micro's pioneering family of lightweight, state-of-the-art open cybersecurity language models and datasets. Developed through our cutting-edge research initiatives and advanced technology, these resources share the innovative foundation that powers our enterprise-class [Trend Cybertron](https://newsroom.trendmicro.com/2025-02-25-Trend-Micro-Puts-Industry-Ahead-of-Cyberattacks-with-Industrys-First-Proactive-Cybersecurity-AI) solution. As an industry leader in cybersecurity, Trend Micro is proud to contribute these powerful, efficiency-optimized models and datasets to the community, while maintaining the excellence and reliability that define our global security standards.
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  ## License
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  This model is based on the MIT license, but you must also comply with the Llama 3.1 Community License Agreement.