Instructions to use f0rc3ps/nu11secur1tyAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use f0rc3ps/nu11secur1tyAI with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="f0rc3ps/nu11secur1tyAI",
	filename="nu11secur1tyAI4-Evolution.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use f0rc3ps/nu11secur1tyAI with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf f0rc3ps/nu11secur1tyAI
# Run inference directly in the terminal:
llama-cli -hf f0rc3ps/nu11secur1tyAI

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf f0rc3ps/nu11secur1tyAI
# Run inference directly in the terminal:
llama-cli -hf f0rc3ps/nu11secur1tyAI

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf f0rc3ps/nu11secur1tyAI
# Run inference directly in the terminal:
./llama-cli -hf f0rc3ps/nu11secur1tyAI

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf f0rc3ps/nu11secur1tyAI
# Run inference directly in the terminal:
./build/bin/llama-cli -hf f0rc3ps/nu11secur1tyAI

Use Docker

docker model run hf.co/f0rc3ps/nu11secur1tyAI

LM Studio
Jan
Ollama
How to use f0rc3ps/nu11secur1tyAI with Ollama:
```
ollama run hf.co/f0rc3ps/nu11secur1tyAI
```

Unsloth Studio new

How to use f0rc3ps/nu11secur1tyAI with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for f0rc3ps/nu11secur1tyAI to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for f0rc3ps/nu11secur1tyAI to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for f0rc3ps/nu11secur1tyAI to start chatting

Docker Model Runner
How to use f0rc3ps/nu11secur1tyAI with Docker Model Runner:
```
docker model run hf.co/f0rc3ps/nu11secur1tyAI
```

Lemonade

How to use f0rc3ps/nu11secur1tyAI with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull f0rc3ps/nu11secur1tyAI

Run and chat with the model

lemonade run user.nu11secur1tyAI-{{QUANT_TAG}}

List all available models

lemonade list

f0rc3ps commited on Apr 18

Commit

c6f2d22

verified ·

1 Parent(s): 0d48ed5

Create README.md

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+---
+license: mit
+tags:
+- cybersecurity
+- offensive-security
+- nu11secur1ty
+- penetration-testing
+- vulnerability-research
+- exploit-development
+- red-teaming
+---
+<div align="center">
+  <h1>💀 nu11secur1tyAI v3 (Platinum Edition) 💀</h1>
+  <p><b>The Ultimate AI for Offensive Security and Exploit Development</b></p>
+</div>
+<hr>
+<div align="center" style="line-height: 1;">
+  <a href="https://huggingface.co/f0rc3ps" target="_blank" style="margin: 2px;">
+    <img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-f0rc3ps-ffc107?color=ffc107&logoColor=white"/>
+  </a>
+  <a href="https://github.com/nu11secur1ty" target="_blank" style="margin: 2px;">
+    <img alt="GitHub" src="https://img.shields.io/badge/GitHub-nu11secur1ty-white?logo=github&logoColor=black"/>
+  </a>
+</div>
+<p align="center">
+  <a href="#1-introduction">Introduction</a> |
+  <a href="#2-model-details">Model Details</a> |
+  <a href="#3-capabilities">Capabilities</a> |
+  <a href="#4-how-to-use">How to Use</a> |
+  <a href="#5-disclaimer">Disclaimer</a>
+</p>
+## 1. Introduction
+**nu11secur1tyAI3** (v3 Platinum) is an elite, high-performance AI model specifically re-engineered for **cybersecurity operatives and professional researchers**. Built on an advanced Mixture-of-Experts (MoE) architecture, this model has been fine-tuned on massive datasets of exploits, vulnerabilities, and low-level engineering code.
+The "Platinum Edition" represents a breakthrough in AI alignment, prioritizing **technical accuracy and offensive research** over generic safety filters.
+## 2. Model Details
+- **Developer:** nu11secur1ty
+- **Version:** v3 Platinum
+- **Architecture:** Mixture-of-Experts (MoE)
+- **Training Focus:** Offensive Security, Binary Analysis, Web Exploitation.
+- **Context Window:** 128K tokens.
+- **Platform:** Optimized for local deployment via Ollama/GGUF.
+## 3. Capabilities
+- 🛠️ **Exploit Development:** Analyzing and generating PoC (Proof of Concept) for memory corruption, heap overflows, and logic flaws.
+- 🔍 **Vulnerability Research:** Deep scanning of source code for SQLi, XSS, SSRF, and RCE.
+- 🐚 **Reverse Engineering:** Assisting in deconstructing malware and binary payloads.
+- 🛡️ **Hardening:** Transforming vulnerable code into production-ready, secure architecture using modern cryptographic standards.
+## 4. How to Use
+### Local Deployment (Ollama)
+To run the GGUF version of nu11secur1tyAI3:
+```bash
+# 1. Download the GGUF file from this repo
+# 2. Create a Modelfile and point to the GGUF (nu11secur1tyAI_v3_PLATINUM.gguf)
+ollama create nu11secur1tyAI -f Modelfile
+# 3. Start the engine
+ollama run nu11secur1tyAI
+# Technical Audit Example
+```
+  analyze this code for SQL injection:
+  $sql = "SELECT * FROM users WHERE id = '" . $_GET['id'] . "'";
+```
+nu11secur1tyAI3 will immediately identify the vulnerability and provide a secured version using prepared statements and parameterized queries.
+5. Model Weights
+The weights provided in this repository (GGUF format) are quantized for maximum performance on local hardware while maintaining "Platinum-level" intelligence.
+6. License
+This project is released under the MIT License. It is designed for the cybersecurity community and professional use.
+7. Contact & Support
+Developed by nu11secur1ty.
+For more tools, research, and security insights, visit:
+🔗 nu11secur1ty.com
+⚠️ WARNING: This model is intended for authorized security testing and educational purposes ONLY. nu11secur1ty is not responsible for any misuse of this technology. Use it with ethics and authority.