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.
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
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
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
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
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)
- 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)
- 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.