Uncensored and Offensive Security AI Models Benchmark

This benchmark lists uncensored open-weight AI models for authorized red team operations, penetration testing, and security research. Models like LiquidAI/LFM2-2.6B and zai-org/GLM-5.3 are detailed, showcasing parameters, context length, VRAM requirements, and uncensoring methods. LFM2-2.6B uses SFT + RL and reward-guided post-training on 75K cybersecurity rows, achieving a CyberBench Average of 0.592 F1/Acc. GLM-5.3, with 753B parameters, employs direct weight modification for offensive security tasks, retaining soft refusal on copyright reproduction.