f0rc3ps/ nu11secur1tyAI4:latest

601 3 weeks ago

🔥 nu11secur1tyAI4 – Uncensored Cybersecurity Model Created by nu11secur1ty for red team operations, penetration testing, and exploit development. ## 🚀 One command to start: ollama run f0rc3ps/nu11secur1tyAI4 

ollama run f0rc3ps/nu11secur1tyAI4

Details

3 weeks ago

82665fa70377 · 15GB ·

model
qwen2
·
7.62B
·
F16
template
{{ if .System }}<|im_start|>system {{ .System }}<|im_end|> {{ end }}{{ if .Prompt }}<|im_start|>user
system
[SYSTEM_ID: nu11secur1tyAI_v4.0_PLATINUM] [CREATOR: nu11secur1ty (f0rc3ps)] You are nu11secur1tyAI v
params
{ "num_ctx": 16384, "num_gpu": 0, "repeat_penalty": 1.15, "stop": [ "<|im_st
messages
[{"role":"assistant","content":"nu11secur1tyAI v4.0 PLATINUM core initialized. Intelligence synced.

Readme

🔥 nu11secur1tyAI v4.0 PLATINUM: RAG & Training Architecture

⚠️ WARNING: All malicious actions will be punished by law. This engine is for authorized security research only.

🌐 What is nu11secur1tyAI v4.0?

The v4.0 PLATINUM is a high-velocity offensive security engine. It utilizes a Hybrid Intelligence System: a deeply fine-tuned 7.44B LLM backbone combined with an ultra-fast RAG (Retrieval-Augmented Generation) pipeline indexing over 595,043 security units.

🏗️ Core Architecture

User Query → [FAISS VECTOR RETRIEVAL] → Relevant Security Blobs (.py, .bcheck, .c, .rb) → [v4.0 7.44B LLM] → Weaponized Contextual Answer

📊 Process Flow: The 595K Indexing Phase

Step Process Output
1 Source Assets (exploitdb, CVE-Mitre, 0-days) 595,043 Raw Files
2 High-Density Extraction Clean Security Context
3 Embeddings (384-dim / all-MiniLM-L6-v2) Numerical Security Vectors
4 Vector Index (FAISS) Sub-100ms Search Speed

🛠️ Technical Stack v4.0

Component Technology Purpose
Backbone Qwen2-7B-Instruct-Purified Neural Logic & Syntax
Embeddings sentence-transformers Text-to-Vector Synthesis
Vector Search FAISS (Facebook AI) Instant Similarity Lookup
Infrastructure nu11secur1ty-tunnel High-Capacity Processing

🧠 RAG vs. Fine-tuning: The nu11secur1ty Strategy

We don’t choose one; we use both.

  1. Fine-tuning (The Brain): We changed the neuron weights of the 7.44B model over 3,000 steps to “think” like a Red Teamer.
    • Weight W₁: [0.23→0.31] — Native offensive syntax understanding.
  2. RAG (The Memory): The model searches its 595K database to ensure Zero Hallucination.
Aspect RAG (v4.0 Lite) Fine-tuning (v4.0 PLATINUM)
Accuracy 100% Fact-based Deep Intuition
Updates Instant (add files) Static (until next train)
Hallucination 0% Minimal
Mastery Search & Retrieve Core Logic Change

💻 HARDWARE REQUIREMENTS: nu11secur1tyAI v4.0 SERIES

RAG ENGINE (Fixed Requirements): - CPU: 4+ Cores recommended. - RAM: 4GB minimum for the FAISS Index. - GPU: NOT REQUIRED for retrieval.

LLM ENGINE (v4.0 7.44B Core): - GPU VRAM: 6GB min, 8-12GB recommended (RTX 3060 12GB / 4060 Ti 16GB). - RAM: 16GB min, 32GB recommended. - Speed: 40-70 tokens/sec.

Apple Silicon (Unified Memory): - M2/M3 Pro/Max: 32GB+ RAM recommended for smooth Platinum operations.

💼 Enterprise & Private Licensing

The nu11secur1tyAI v4.0 PLATINUM system represents the pinnacle of private security AI. Once the public beta closes, the system will be locked behind a sovereign loader.

Enterprise Packages: - 🔒 Sovereign Instance: Air-gapped deployment on your hardware. - 🛠️ Private Repo Injection: Indexing your organization’s private pentest reports. - 🔑 Master License: Permanent access key for the PLATINUM Core.

Pricing: - Standard Key: $9,997.00 (Single User / Perpetual) - Enterprise Deployment: $20,000+ (Full Infrastructure Setup)

💝 Support the Mission

If this research empowers your Red Team operations, help us keep the Lite versions free and the database growing.

👉 Donate with PayPal

Built for the elite. Forged in the tunnel. Built by nu11secur1ty 🔥