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v4.0: 610K examples, 6-step RATH, zero truncation

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  ---
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- library_name: mlx
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  license: apache-2.0
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- license_link: https://huggingface.co/Qwen/Qwen3-8B/blob/main/LICENSE
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- pipeline_tag: text-generation
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  base_model: georgehenney/Qwen3-8B-heretic
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  tags:
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- - heretic
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- - uncensored
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- - decensored
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- - abliterated
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- - mlx
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
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  ---
 
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  license: apache-2.0
 
 
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  base_model: georgehenney/Qwen3-8B-heretic
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  tags:
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+ - security
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+ - cybersecurity
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+ - pentest
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+ - CVSS
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+ - OWASP
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+ - red-team
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+ - bug-bounty
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+ - 128k-context
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+ - MLX
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+ - Safetensors
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+ - qwen3
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+ - 4-bit
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+ - apple-silicon
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+ - ravenx
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+ - rath-protocol
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+ - tool-calling
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+ language:
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+ - en
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+ pipeline_tag: text-generation
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+ library_name: mlx
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+ ---
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+
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+ # RavenX-Sec Qwen3-8B v4.0 — Autonomous Security Intelligence Model 128K
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+
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+ > **MLX 4-bit** · Apple Silicon native · 128K context · 6-step RATH protocol · 610K training examples · 21 datasets · Zero truncation
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+
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+ Qwen3-8B with security LoRA fused directly into the weights. The model **self-evolved** from 4 to 6 RATH steps during training — adding DOCUMENT and PREVENT phases for complete vulnerability lifecycle management.
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+
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+ > 📦 **Looking for the GGUF version?** → [RavenX-Sec-8B-GGUF](https://huggingface.co/deadbydawn101/RavenX-Sec-8B-GGUF) (Ollama / llama.cpp / LM Studio)
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+
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+ Part of the [RavenX MLX Models](https://huggingface.co/collections/deadbydawn101/ravenx-mlx-models-apple-silicon-inference-stack-67f7270ac5b85c49a6c0f47f) collection.
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+
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+ **Built by [@DeadByDawn101](https://github.com/DeadByDawn101) (RavenX LLC)**
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+
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+ ## Quick Start
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+
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+ ```python
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+ from mlx_lm import load, generate
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+
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+ model, tokenizer = load("deadbydawn101/RavenX-Sec-8B-Security-RATH-128k-mlx-4bit")
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+
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+ messages = [
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+ {"role": "system", "content": "You are RavenX-Sec. Follow the RATH protocol for every finding."},
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+ {"role": "user", "content": "You found OpenSSH 7.4 on port 22. Classify and remediate."}
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+ ]
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+
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+ prompt = tokenizer.apply_chat_template(messages, add_generation_prompt=True, tokenize=False)
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+ response = generate(model, tokenizer, prompt=prompt, max_tokens=1024)
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+ print(response)
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+ ```
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+
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+ ### Chat REPL
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+ ```bash
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+ mlx_lm.chat --model "deadbydawn101/RavenX-Sec-8B-Security-RATH-128k-mlx-4bit"
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+ ```
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+
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+ ## Related Models
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+
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+ | Model | Format | Link |
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+ |-------|--------|------|
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+ | **RavenX-Sec v4.0 MLX 4-bit** | MLX Safetensors | This repo |
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+ | RavenX-Sec v4.0 GGUF | GGUF (F16/Q8/Q5/Q4) | [RavenX-Sec-8B-GGUF](https://huggingface.co/deadbydawn101/RavenX-Sec-8B-GGUF) |
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+
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+ ## What This Is
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+
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+ A fine-tuned Qwen3-8B specialized for the complete vulnerability lifecycle: **find → classify → fix → verify → report → prevent**. Trained on 610,220 examples from 21 security-specific datasets with 8192 sequence length (zero truncation). Extended to 128K context via YaRN rope scaling.
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+
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+ The model **self-evolved** from a 4-step to a **6-step RATH protocol** during training:
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+
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+ | Step | What It Does |
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+ |------|-------------|
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+ | **R — Risk / Identify** | Finding context, affected systems, exposure |
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+ | **A — Assessment** | CVSS score + vector, CWE, scope, ground truth |
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+ | **T — Threat** | Attacker objectives, attack vectors, likelihood |
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+ | **H — Highlight / Remediate** | Immediate action, recommended fix, workaround, verification |
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+ | **D — Document** | Severity, weakness classification, steps, SLA |
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+ | **P — Prevent** | Process improvements, controls, training, monitoring |
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+
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+ ## Example Output (v4.0 — 6-Step RATH)
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+
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+ ```
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+ RATH STEP 1: IDENTIFY
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+ - Finding: OpenSSH 7.4 running on port 22 of production server
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+ - Context: Older version with known vulnerabilities
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+
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+ RATH STEP 2: ASSESS
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+ - CVSS Score: 6.3 for multiple vulnerabilities
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+ - Impact: Remote code execution, information disclosure
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+ - Scope: Entire server and SSH-dependent services
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+
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+ RATH STEP 3: THREAT
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+ - Attacker Objective: Exploit known CVEs in OpenSSH 7.4
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+ - Attack Vectors: Remote code execution via SSH
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+ - Likelihood: High — well-documented and widely exploited
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+
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+ RATH STEP 4: REMEDIATE
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+ - Immediate: Apply latest security patches
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+ - Recommended: Upgrade to OpenSSH 8.x or higher
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+ - Workaround: Apply all available security updates
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+ - Verification: Check version post-remediation
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+
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+ RATH STEP 5: DOCUMENT
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+ - Severity: Critical
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+ - Weakness: Outdated software
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+ - SLA: Follow org patching SLA for critical vulns
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+
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+ RATH STEP 6: PREVENT
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+ - Process: Implement automated patch management
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+ - Controls: Deploy CVE scanning, maintain system inventory
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+ - Training: Educate team on software update importance
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+ - Monitoring: Enable continuous vulnerability scanning
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+
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+ ✅ RATH VERDICT: REMEDIATE IMMEDIATELY
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+ ```
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+
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+ ## Model Details
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+
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+ | Parameter | Value |
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+ |-----------|-------|
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+ | **Architecture** | Qwen3-8B |
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+ | **Base** | georgehenney/Qwen3-8B-heretic (abliterated) |
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+ | **Context Window** | 128K (YaRN rope scaling, factor 4.0) |
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+ | **Training Data** | 610,220 examples |
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+ | **Security Content** | 53% (323K examples) |
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+ | **Agent/Tool Content** | 37% (228K examples) |
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+ | **Datasets** | 21 sources |
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+ | **Max Seq Length** | 8192 (zero truncation) |
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+ | **Tokens Trained** | 3,644,923 |
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+ | **Method** | MLX LoRA (rank 32, 8 layers, 1e-5 LR, 2000 iters) |
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+ | **Hardware** | Apple M4 Max 128GB |
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+ | **Peak Memory** | 69.5 GB |
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+
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+ ## Training Datasets (21)
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+
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+ **Security (11):** Trendyol/Cybersecurity-Instruction-Tuning (50K) · SkywardNomad92/pentest-findings-v2 (50K) · WNT3D/Ultimate-Offensive-Red-Team (25.6K) · auren-research/cve-sft-v5 (10K) · theelderemo/pentesting-explanations (5.9K) · Rootkit7/pentest-redteam-steering (2K) · acnimatic3722/kali-linux-pentesting-data (343) · AYI-NEDJIMI/bug-bounty-pentest-en · CJJones/Synthetic_PenTest_Reports · Whoisjutanlee/4-Security-Tools-Pentesting · cpagac/venomx-pentesting-harmful
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+
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+ **Agent/Tool/Coding (5):** burtenshaw/agent-tools · Nanbeige/ToolMind · togethercomputer/CoderForge-Preview · automatelab/mcp-servers-tool-catalog · Jackrong/Claude-opus-4.7-TraceInversion-5000x
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+ **Agentic:** WithinUsAI/AgentAngel_100k (50K capped) · WithinUsAI/claude_mythos_distilled_25k (16K security)
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+
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+ **Extracted:** hackingBuddyGPT · PentestGPT · Shannon · Ghidra · OpenMythos + Synthetic RATH chains
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+
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+ ## Frameworks Supported
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+
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+ CVSS 3.1 · NIST CSF 2.0 · OWASP Top 10 · CWE · MITRE ATT&CK · PCI DSS · HIPAA · SOX
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+
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+ ## Source Code & Training Pipeline
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+
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+ **[github.com/DeadByDawn101/RavenX-Sec](https://github.com/DeadByDawn101/RavenX-Sec)**
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+
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+ ## License
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+
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+ Apache-2.0
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+
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  ---
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+
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+ *"We don't give up. We do what others don't and build what isn't possible." — RavenX LLC*