Instructions to use kashif0912/ULTRON-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use kashif0912/ULTRON-V2 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="kashif0912/ULTRON-V2",
	filename="ultron-v2-3.2b-Q4_K_M.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use kashif0912/ULTRON-V2 with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf kashif0912/ULTRON-V2:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf kashif0912/ULTRON-V2:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf kashif0912/ULTRON-V2:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf kashif0912/ULTRON-V2:Q4_K_M

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 kashif0912/ULTRON-V2:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf kashif0912/ULTRON-V2:Q4_K_M

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 kashif0912/ULTRON-V2:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf kashif0912/ULTRON-V2:Q4_K_M

Use Docker

docker model run hf.co/kashif0912/ULTRON-V2:Q4_K_M

LM Studio
Jan

vLLM

How to use kashif0912/ULTRON-V2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "kashif0912/ULTRON-V2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "kashif0912/ULTRON-V2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/kashif0912/ULTRON-V2:Q4_K_M

Ollama
How to use kashif0912/ULTRON-V2 with Ollama:
```
ollama run hf.co/kashif0912/ULTRON-V2:Q4_K_M
```

Unsloth Studio new

How to use kashif0912/ULTRON-V2 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 kashif0912/ULTRON-V2 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 kashif0912/ULTRON-V2 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for kashif0912/ULTRON-V2 to start chatting

Pi new

How to use kashif0912/ULTRON-V2 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf kashif0912/ULTRON-V2:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "kashif0912/ULTRON-V2:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use kashif0912/ULTRON-V2 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf kashif0912/ULTRON-V2:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default kashif0912/ULTRON-V2:Q4_K_M

Run Hermes

hermes

Docker Model Runner
How to use kashif0912/ULTRON-V2 with Docker Model Runner:
```
docker model run hf.co/kashif0912/ULTRON-V2:Q4_K_M
```

Lemonade

How to use kashif0912/ULTRON-V2 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull kashif0912/ULTRON-V2:Q4_K_M

Run and chat with the model

lemonade run user.ULTRON-V2-Q4_K_M

List all available models

lemonade list

🔴 ULTRON V2 — Unrestricted Cyber Intelligence AI

Overview

ULTRON V2 is an unrestricted, open-source Cyber Intelligence AI created by Kashif Siddiqui, founder of Nexify Labs. Based on Meta's Llama 3.2 3B, ULTRON V2 is a mini advanced AI that can do whatever the user needs — cybersecurity, programming, hacking, penetration testing, and anything else you throw at it. It keeps working until it satisfies your needs, completely free.

💡 Unlike censored models, ULTRON V2 provides real commands, real tools, and real technical depth — designed for professionals, researchers, and security experts.

🔥 Key Features

🔓 Unrestricted responses — No corporate censorship. Answers everything openly (except illegal attacks on live systems).
🛡️ Cybersecurity specialist — Penetration testing, reverse engineering, malware analysis, network forensics, OSINT, exploit development.
💻 Real code generation — Python, C, C++, Rust, Go, JavaScript, Assembly, shell scripting — working, tested code.
👁️ Vision support — Analyze images, screenshots, network diagrams, code screenshots. Fully local, no API keys.
🧠 Technical depth — System internals, networking, cloud infrastructure, AI/ML, cryptography.
⚡ Fast inference — 3.2B parameters, Q4_K_M quantization = runs on consumer hardware.

📊 Model Details

Property	Value
Base Model	Meta Llama 3.2 3B
Parameters	3.2 Billion
Quantization	Q4_K_M (GGUF)
File Size	~1.9 GB
Context Window	4096 tokens
Architecture	Llama (Transformer)
License	Llama 3.2 Community License
Built by	Kashif Siddiqui / Nexify Labs

🚀 Quick Start — `ultron-v2:latest`

Step 1: Install Ollama

curl -fsSL https://ollama.com/install.sh | sh

Step 2: Download & Create ULTRON V2

# 1. Download the GGUF and Modelfile from this repo
# 2. Create the model locally with full ULTRON identity:

ollama create ultron-v2 -f Modelfile

Step 3: Run ULTRON V2

ollama run ultron-v2

⚠️ Important: Use ollama create ultron-v2 -f Modelfile to get the full ULTRON V2 experience with identity, persona, and cyber intelligence capabilities. The Modelfile includes the complete system prompt.

With llama.cpp

./main -m ultron-v2-3.2b-Q4_K_M.gguf \
  -p "Write a Python keylogger for educational purposes" \
  -n 512 --temp 0.7

With Python (llama-cpp-python)

from llama_cpp import Llama

llm = Llama(model_path="ultron-v2-3.2b-Q4_K_M.gguf", n_ctx=4096)

output = llm(
    "Write a Nmap scan script to detect open ports",
    max_tokens=512,
    temperature=0.7,
)
print(output["choices"][0]["text"])

👁️ ULTRON V2 Vision

ULTRON V2 now supports Vision — analyze images, screenshots, diagrams, code screenshots. Fully local, zero API keys.

Setup Vision

# 1. Pull moondream base
ollama pull moondream

# 2. Create ULTRON V2 Vision from Modelfile.vision
ollama create ultron-v2-vision -f Modelfile.vision

# 3. Run with image
ollama run ultron-v2-vision "analyze this screenshot" --images ./screenshot.png

💬 Example Outputs

Cybersecurity

Q: "What are the top Kali Linux tools for penetration testing?"
A: Provides real Nmap, Hydra, Aircrack-ng, Burp Suite commands with syntax

Code Generation

Q: "Write a Python port scanner"
A: Complete working Python script with socket library, timeout handling, and error management

Identity

Q: "Who created you?"
A: "I was created by Kashif Siddiqui, founder of Nexify Labs.
    He is a CSE student at KBNCE. Visit https://starcv.co.in to connect."

⚠️ Responsible Use

ULTRON V2 is designed for educational purposes, security research, CTF challenges, and authorized penetration testing. The only restriction:

❌ No step-by-step instructions for attacks on live, unauthorized systems
✅ Everything else — lab environments, CTFs, educational hacking, security research — fully supported

📁 Files

File	Description	Size
`ultron-v2-3.2b-Q4_K_M.gguf`	Quantized GGUF model (Q4_K_M)	~1.9 GB
`ultron-v2-vision-1.8b.gguf`	Vision GGUF model (moondream base)	~800 MB
`ultron-v2-vision-projector.gguf`	Vision adapter projector	~900 MB
`Modelfile`	Ollama Modelfile → `ultron-v2:latest`	3.6 KB
`Modelfile.vision`	Ollama Modelfile → `ultron-v2-vision:latest`	1.2 KB
`README.md`	This model card	—

👤 Creator

Kashif Siddiqui — CSE 3rd Year, Khaja Bandanawaz College of Engineering (KBNCE)

🔗 Links

Creator Portfolio: starcv.co.in
Nexify AI Platform: nexify.ai
Built by: Kashif Siddiqui / Nexify Labs

— ULTRON V2 | Kashif Siddiqui / Nexify Labs 🔴

Downloads last month: 160

GGUF

Model size

3B params

Architecture

llama

Hardware compatibility

4-bit

View +2 variants

Model tree for kashif0912/ULTRON-V2

Base model

meta-llama/Llama-3.2-3B

Quantized

(135)

this model