--- license: apache-2.0 base_model: georgehenney/Qwen3-8B-heretic tags: - security - cybersecurity - pentest - vulnerability-assessment - CVSS - NIST - OWASP - red-team - bug-bounty - gguf - mlx - qwen3 - heretic - lora - fine-tuned language: - en pipeline_tag: text-generation --- # RavenX-Sec 8B v3.0 — Autonomous Security Intelligence Model (GGUF)

Find → Classify → Fix → Verify → Report
The most comprehensively trained open-source security model. 379K training examples from 15 datasets.

**Built by [@DeadByDawn101](https://github.com/DeadByDawn101) (RavenX LLC)** ## What This Is RavenX-Sec produces structured security assessments using the **RATH protocol** — citing specific CVEs, generating CVSS vectors, showing vulnerable code examples, providing exploit PoCs, and delivering actionable remediation. ## Quick Start ```bash # Ollama ollama run hf.co/deadbydawn101/RavenX-Sec-8B-GGUF:ravenx-sec-v3.0-Q8_0 # Or download any GGUF below for LM Studio / llama.cpp ``` ## Available Models ### v3.0 (Latest — Recommended) Trained on 379K examples from 15 security datasets (84% security content). | Filename | Quant | Size | Use Case | |----------|-------|------|----------| | `ravenx-sec-v3.0-Q4_K_M.gguf` | Q4_K_M | 4.7 GB | Fast inference | | `ravenx-sec-v3.0-Q5_K_M.gguf` | Q5_K_M | 5.4 GB | Balanced | | `ravenx-sec-v3.0-Q8_0.gguf` | Q8_0 | 8.1 GB | High quality | | `ravenx-sec-v3.0-f16.gguf` | F16 | 15.3 GB | Maximum quality | ### v2.0 (Previous) Trained on 125K examples (77% security content). | Filename | Quant | Size | |----------|-------|------| | `ravenx-sec-v2.0-Q4_K_M.gguf` | Q4_K_M | 4.7 GB | | `ravenx-sec-v2.0-Q5_K_M.gguf` | Q5_K_M | 5.4 GB | | `ravenx-sec-v2.0-Q8_0.gguf` | Q8_0 | 8.1 GB | | `ravenx-sec-v2.0-f16.gguf` | F16 | 15.3 GB | ## RATH Protocol Output v3.0 produces structured 4-step security assessments with **specific CVEs, CVSS vectors, vulnerable code, and exploit PoCs:** ``` RATH STEP 1: IDENTIFY - CVE: CVE-2016-10009, CVE-2016-10010, CVE-2016-10011 - Description: OpenSSH 7.4 — authentication bypass via SSH agent forwarding - Affected: OpenSSH 7.4 RATH STEP 2: ASSESS - CVSS Score: 6.3 - CVSS Vector: CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:L - Technical Analysis: SSH agent forwarding vulnerabilities RATH STEP 3: THREAT - Attack Scenario: Exploit SSH agent forwarding to bypass auth - Vulnerable Code: ForwardAgent yes (VULNERABLE) → ForwardAgent no (SAFE) - Exploit PoC: ssh -o ForwardAgent=yes user@host RATH STEP 4: REMEDIATE - Disable SSH agent forwarding unless necessary - Restrict to specific users via Match blocks - Validate fix for OpenSSH 7.4 specifically ``` ## Training Details ### v3.0 (Latest) | Parameter | Value | |-----------|-------| | **Base Model** | georgehenney/Qwen3-8B-heretic | | **Method** | MLX LoRA on Apple Silicon (M4 Max 128GB) | | **LoRA Rank** | 32 | | **Training Data** | 379,286 examples (84% security) | | **Security Sources** | 15 datasets | | **Iterations** | 1500 | | **Tokens Trained** | 3,019,210 | | **Peak Memory** | 47.9 GB | ### Security Training Datasets (15 total) **Offensive / Red Team:** - WNT3D/Ultimate-Offensive-Red-Team (25,620) - Rootkit7/pentest-redteam-steering (1,963) - acnimatic3722/kali-linux-pentesting-data (343) **Pentest / Bug Bounty:** - SkywardNomad92/pentest-findings-v2 (50,000) - theelderemo/pentesting-explanations (5,906) - AYI-NEDJIMI/bug-bounty-pentest-en (27) - CJJones/Synthetic_PenTest_Reports (123) **CVE / Vulnerability:** - auren-research/cve-sft-v5 (10,000) - Trendyol/Cybersecurity-Instruction-Tuning (50,000) **Agentic / Coding:** - WithinUsAI/AgentAngel_100k (50,000 capped) - WithinUsAI/claude_mythos_distilled_25k (16,000 security) **Extracted from Source Repos:** - hackingBuddyGPT, PentestGPT, Shannon, Ghidra (161) - Synthetic RATH CVE chains (30) ## Frameworks Supported CVSS 3.1, NIST CSF 2.0, OWASP Top 10, CWE, MITRE ATT&CK, PCI DSS, HIPAA, SOX ## Source Code [github.com/DeadByDawn101/RavenX-Sec](https://github.com/DeadByDawn101/RavenX-Sec) ## License Apache-2.0 --- *"We don't give up. We do what others don't and build what isn't possible." — RavenX LLC*