nu11secur1tyAI 4Lite (.nu11 v4 Standard) - 255 Steps

βš”οΈ Introduction

nu11secur1tyAI 4Lite is a specialized, high-velocity offensive security engine. This model is a fine-tuned version of the Qwen2.5-3B architecture, trained over 255 targeted steps for the .nu11 project.

It has been fed with a massive dataset of 595,000+ security-focused documents, including full archives from exploitdb and advanced vulnerability reports.

✨ Features of the .nu11 v4 Standard Edition:

  • Surgical Precision: Optimized for vulnerability research, SQLi, XSS, and RCE payload generation.
  • CPU Optimized: Engineered to run at peak performance on local CPU architectures (AVX2/AVX512).
  • System Ready: Pre-configured for immediate deployment via the nu11secur1ty Sovereign Gateway.
  • Authoritative Tone: Technical, direct, and focused on results.

πŸ› οΈ Technical Specifications

  • Model Name: nu11secur1tyAI 4Lite
  • Core Engine: .nu11-v4-Standard-255
  • Architecture: Transformers (RoPE, SwiGLU, RMSNorm, Attention QKV bias)
  • Parameters: 3.09B
  • Context Length: 32,768 tokens (Optimized for 8,192 in Gateway)
  • Training Stage: Specialized Fine-Tuning (SFT)

πŸš€ Deployment & Access

The model is distributed as an encrypted .nu11 asset to protect the offensive logic.

  1. Download: Ensure you have the nu11secur1tyAI_4Lite_Gateway.exe or the Python loader script.
  2. Access Key: A valid decryption key is required to initialize the core.
  3. Initialization: Run the Gateway, enter your key, and the system will automatically:
    • Fetch the asset: nu11secur1tyAI4Lite_core.nu11
    • Decrypt and register the model in your local Ollama environment.

⚠️ Legal & Ethical Warning

WARNING: This model is for authorized security testing and educational purposes only. Unauthorized use of nu11secur1tyAI against systems without explicit permission is illegal and carries severe penalties. The developers and contributors (nu11secur1ty / f0rc3ps) assume no liability for misuse.

πŸ“Š Evaluation

This version (255 steps) shows significant improvements in instruction following for complex security tasks and structured data understanding compared to the base Qwen2.5 model.


Model Architect: f0rc3ps / nu11secur1tyAI Status: v4 Standard | CPU Optimized | System Ready.

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