Ironcybersec/foundation-sec-8b-red-team
Ironcybersec/foundation-sec-8b-red-team is an 8 billion parameter causal language model fine-tuned by Ironcybersec. Based on fdtn-ai/Foundation-Sec-8B-Instruct, it is specifically optimized for red-teaming operations and security assessments. This model excels at generating content related to Active Directory enumeration, privilege escalation, persistence, and exploitation techniques, making it ideal for authorized security testing and research.
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Foundation-Sec-8B Red Team Edition by Ironcybersec
This model is an 8 billion parameter language model, fine-tuned by Ironcybersec specifically for red-teaming and security assessment tasks. It builds upon the fdtn-ai/Foundation-Sec-8B-Instruct base model and has been trained on a specialized dataset of 10,027 security-focused examples.
Key Capabilities
- Specialized Security Knowledge: Optimized for generating content related to Active Directory enumeration, privilege escalation, persistence, and exploitation techniques.
- Efficient Performance: With 8B parameters, it offers faster inference compared to larger models while maintaining specialized capabilities.
- Broad Compatibility: Available in GGUF format, ensuring compatibility with tools like LM Studio and llama.cpp for flexible deployment.
- Robust Training: Fine-tuned using LoRA (Unsloth) over 3 epochs, achieving a low final loss of 0.053 and an excellent evaluation perplexity of 2.1228.
Intended Use
This model is designed exclusively for authorized security testing, red-teaming exercises, and educational purposes. Users are responsible for adhering to ethical hacking guidelines and ensuring explicit permission for any systems tested. It is not intended for malicious activities.