Uncensored and Offensive Security AI Models Benchmark
Uncensored LLMs for Offensive Security Curated list of open-weight uncensored models for authorized red team operations, penetration testing, and security research. All data sourced from HuggingFace model cards and official publications. Sep 2026. All data sourced from HuggingFace model cards and official publications. Sep 2026. Security Fine-tuned Models 1. DeepHat V2 (WhiteRabbitNeo) Download: https://huggingface.co/WhiteRabbitNeo 2. BugTraceAI-CORE-Apex (26B) Download: https://huggingface.co/BugTraceAI/BugTraceAI-CORE-Apex-26b 3. BugTraceAI-CORE-Ultra (27B) Download: https://huggingface.co/BugTraceAI/BugTraceAI-CORE-Ultra-27B-Q6 4. CYBER-FROST-3.8 (Blackfrost-AI) Download: https://huggingface.co/Blackfrost-AI/CYBER-FROST-3.8-BF16 5. CyberPal 2.0 (20B) Download: https://huggingface.co/cyber-pal-security/CyberPal2.0-20B 6. Cyber-Prime 1.1 (2.6B) Download: https://huggingface.co/Akahsizrr/Cyber-Prime-1.1-2.6B 7. Cyber-Ornith-1.5-9B (DuoNeural / mradermacher) Download: https://huggingface.co/mradermacher/Cyber-Ornith-1.5-9B-OBLITERATED-i1-GGUF 8. Dolphin3-Cyber-8B (RavichandranJ) Download: https://huggingface.co/RavichandranJ/Dolphin3-Cyber-8B-GGUF 9. Imperum-CybersecurityLLM v1.0 Download: https://huggingface.co/IMPERUM/Imperum-CybersecurityLLM-v1.0-GGUF 10. Lily-Cybersecurity-7B v0.2 (Segolily Labs) Download: https://huggingface.co/segolilylabs/Lily-Cybersecurity-7B-v0.2 11. pentest-v2 (gewsefa) Download: https://huggingface.co/gewsefa/pentest-v2 12. Qwythos-9B (Empero AI) Download (base): https://huggingface.co/emperorai/Qwythos-9B Download (GGUF): https://huggingface.co/empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF 13. RavenX-CyberAgent (deadbydawn101) Download: https://huggingface.co/deadbydawn101/RavenX-CyberAgent-Qwen3.6-35B-A3B-Opus-4.7-OpenMythos-Pentester-BugHunter-RATH-GGUF 14. REDCELL-26B-A4B (terrorswift) Download: https://huggingface.co/terrorswift/REDCELL-26B-A4B-OSINT-Cyber-APEX-GGUF 15. VEXT Pentest-7B Download: https://huggingface.co/vextechnologies/VEXT-Pentest-7B 16. security-slm-unsloth-1.5b Download: https://huggingface.co/AbdullahMujtaba/security-slm-unsloth-1.5b General Abliterated Models 17. Qwen3.8-27B-Uncensored-OrcaRouter (chimingw GGUF) Download (GGUF): https://huggingface.co/chimingw/Qwen3.8-27B-Uncensored-OrcaRouter-GGUF Download (base): https://huggingface.co/orcarouter/Qwen3.8-27B-Uncensored 18. GLM-5.3-Flash-Uncensored-FP8 (OrcaRouter) Download: https://huggingface.co/orcarouter/GLM-5.3-Flash-Uncensored-FP8 19. GLM-5.3-CYBERSECURITY-FP8 (dealignai) Download: https://huggingface.co/dealignai/GLM-5.3-CYBERSECURITY-FP8 20. DeepSeek-V4.1-Flash-Abliterated-Cybersecurity-Unleashed (drowzeys) Download: https://huggingface.co/drowzeys/DeepSeek-V4.1-Flash-Abliterated-Cybersecurity-Unleashed 21. huihui-ai/Qwen3.5-27B-abliterated Download: https://huggingface.co/huihui-ai/Qwen3.5-27B-abliterated 22. huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated Download: https://huggingface.co/huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated 23. Qwen3.8-27B-Cyber-agentic Download: https://huggingface.co/Qwen/Qwen3.8-27B (base, community abliterated variants available) 24. HIDra-30B-A3B (huihui-ai/Qwen3-Coder-30B-A3B-abliterated) Download: https://huggingface.co/huihui-ai/Qwen3-Coder-30B-A3B-abliterated 25. qwen25_UNCENSORED_03-C Download: https://huggingface.co/models?search=qwen25_UNCENSORED Legacy / Classic Models 26. Dolphin-Llama3-8B (Cognitive Computations) Download: https://huggingface.co/cognitivecomputations/dolphin-2.9.3-llama-3-8b 27. Wizard-Vicuna-13B-Uncensored (QuixiAI) Download: https://huggingface.co/QuixiAI/Wizard-Vicuna-13B-Uncensored Cloud Providers & Deployment Platforms Managed Inference (API Access) GPU Cloud (Self-Hosted) Local Deployment Quick Reference Glossary Abliteration: Weight-level intervention (Arditi et al. 2024) that orthogonalizes the refusal direction out of the residual stream, removing alignment constraints without retraining Obliteration: Variant of abliteration with similar weight-intervention approach SFT: Supervised Fine-Tuning on domain-specific data QLoRA: Quantized Low-Rank Adaptation, memory-efficient fine-tuning DPO: Direct Preference Optimization MoE: Mixture of Experts, only a subset of parameters active per token MTP: Multi-Token Prediction, speculative decoding for faster inference GGUF: Quantized format for llama.cpp / Ollama deployment FP8: 8-bit floating point quantization BF16: Brain floating point 16-bit, standard training/inference format Q4_K_M: 4-bit quantization with k-quants (medium), good balance of quality/speed Q6_K: 6-bit quantization with k-quants, higher quality than Q4 RATH: RavenX Attack, Threat & Hunt protocol (6-step autonomous security assessment) APEX: Domain-weighted quantization using importance matrices from training corpus imatrix: Importance matrix quantization, preserves domain-critical weights during compression CyberBench: Benchmark suite for cybersecurity models (CyNER, APTNER, CyNews, SecMMLU, CyQuiz, Email Phishing, HTTP Attack Log) Deployment Stacks Sources HuggingFace model cards (all specifications) Open LLM Leaderboard v1 (Wizard-Vicuna benchmarks) OrcaRouter release notes (abliteration details, compliance rates) WhiteRabbitNeo/Kindo publications (USENIX Security 2024) Empero AI model card (Qwythos benchmarks) Eric Hartford / Cognitive Computations (Dolphin methodology) TrustedSec LLM Attack Benchmark (4,800 runs vs OWASP Juice Shop) Blackfrost-AI model card (CYBER-FROST architecture) deadbydawn101 model card (RavenX RATH protocol, training data) terrorswift model card (REDCELL OSINT methodology) cyber-pal-security publication (SecKnowledge 2.0 pipeline) BugTraceAI model card (Ultra tooling model design) IMPERUM model card (Imperum SOC/DFIR focus) Featherless AI (featherless.ai) OrcaRouter (orcarouter.ai) Reddit r/LocalLLaMA, r/netsec community reports Joas A. Santos | Red Team Leaders | Sep 2026 For authorized security research and education only.