- HF Model
- deadbydawn101/RavenX-CyberAgent-Qwen3.6-35B-A3B-Opus-4.7-OpenMythos-Pentester-BugHunter-RATH-GGUF
- Base Model
- huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated
- Pipeline
- text-generation
- Downloads
- 10,497
- Likes
- 55
- pentest
- bug-bounty
- red-team
- agent
- mcp
- qwen3.6
- moe
pentest
RavenX CyberAgent — Qwen3.6 Pentester & Bug Hunter
Uploaded to Hugging Face by deadbydawn101 — 35B MoE agent model tagged for pentesting, bug bounty, and MITRE ATT&CK-aware security workflows.
What Is This?
Community upload on Hugging Face by deadbydawn101. RavenX CyberAgent is a quantized GGUF distribution of a 35B mixture-of-experts model positioned as an autonomous security agent for penetration testing, bug bounty triage, and red-team reasoning. It is not an OFFSITE.DARK release.
Metadata
| Field | Value |
|---|---|
| Author | deadbydawn101 |
| Base model | huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated |
| Format | GGUF (llama.cpp, Ollama, LM Studio, vLLM) |
| Pipeline | text-generation |
| Downloads | ~10.5k |
| Created | 2026-06-04 |
Tagged Capabilities
The model card tags reference a wide offensive-security vocabulary:
- Pentest / bug bounty — vulnerability reasoning, exploit chain planning
- Agent tooling — tool-calling, MCP integration
- Frameworks — CVSS, CWE, MITRE ATT&CK, OWASP, NIST
- RATH protocol — RavenX-specific agent coordination schema
Why It Might Matter
RavenX sits at the intersection of two trends worth tracking:
- Security-specialized agents — models fine-tuned and prompt-wrapped for authorized offensive workflows rather than general chat
- MoE at consumer scale — 35B total parameters with active expert routing makes capable agents runnable on high-end local hardware via GGUF
For defenders and researchers, the value is capability benchmarking: understanding what open-weight agents can reason about without API guardrails, and how tool-calling architectures lower the skill floor for scripted attack planning.
Research Questions
- How does RavenX compare to general-purpose models (Qwen3, DeepSeek) on CVE triage and OWASP Top 10 reasoning?
- Does the RATH protocol enable reproducible multi-step agent evaluation?
- What guardrail bypass patterns emerge from "abliterated" base models in security contexts?
Supply Chain Note
Download from Hugging Face only. Verify checksums, prefer safetensors where available, and never load pickle-serialized weights in production pipelines. Third-party security models may carry elevated supply-chain risk — treat as untrusted code until audited.
Attribution
Open-source model indexed for security research inquiry. Uploaded to Hugging Face by deadbydawn101. OFFSITE.DARK does not endorse or distribute this artifact.