Buckets:

AnalyNexus
/

Intelligence-agency-datascience

Files

xet

AnalyNexus/Intelligence-agency-datascience / README.md

AnalyNexus

8 days ago

preview code

download

raw

5.75 kB

---
license: llama3.2
language:
- en
tags:
- cybersecurity
- uncensored
- llama
- gguf
- ollama
- pentesting
- hacking
- nexify
- vision
model_name: ULTRON V2
base_model: meta-llama/Llama-3.2-3B
pipeline_tag: text-generation
quantized_by: Nexify Labs
---
# 🔴 ULTRON V2 — Unrestricted Cyber Intelligence AI

<p align="center">
  <img src="https://img.shields.io/badge/Model-ULTRON%20V2-red?style=for-the-badge&logo=meta" alt="ULTRON V2">
  <img src="https://img.shields.io/badge/Params-3.2B-blue?style=for-the-badge" alt="3.2B">
  <img src="https://img.shields.io/badge/Quantization-Q4__K__M-green?style=for-the-badge" alt="Q4_K_M">
  <img src="https://img.shields.io/badge/Built%20By-Nexify%20Labs-orange?style=for-the-badge" alt="Nexify Labs">
  <img src="https://img.shields.io/badge/Vision-Supported-purple?style=for-the-badge" alt="Vision">
</p>

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

### Step 2: Download & Create ULTRON V2
```bash
# 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
```bash
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

```bash
./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)

```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
```bash
# 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](https://starcv.co.in)
- **Nexify AI Platform**: [nexify.ai](https://nexify.ai)
- **Built by**: Kashif Siddiqui / Nexify Labs

---

**— ULTRON V2 | Kashif Siddiqui / Nexify Labs** 🔴

Xet Storage Details

Size:: 5.75 kB
Xet hash:: 9236c858ccd1add9a9b1ba2008ad84c478b7fb09c91e46ec1dc7db4eb3e23c3a

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.

	---
	license: llama3.2
	language:
	- en
	tags:
	- cybersecurity
	- uncensored
	- llama
	- gguf
	- ollama
	- pentesting
	- hacking
	- nexify
	- vision
	model_name: ULTRON V2
	base_model: meta-llama/Llama-3.2-3B
	pipeline_tag: text-generation
	quantized_by: Nexify Labs
	---

	# 🔴 ULTRON V2 — Unrestricted Cyber Intelligence AI

	<p align="center">
	<img src="https://img.shields.io/badge/Model-ULTRON%20V2-red?style=for-the-badge&logo=meta" alt="ULTRON V2">
	<img src="https://img.shields.io/badge/Params-3.2B-blue?style=for-the-badge" alt="3.2B">
	<img src="https://img.shields.io/badge/Quantization-Q4__K__M-green?style=for-the-badge" alt="Q4_K_M">
	<img src="https://img.shields.io/badge/Built%20By-Nexify%20Labs-orange?style=for-the-badge" alt="Nexify Labs">
	<img src="https://img.shields.io/badge/Vision-Supported-purple?style=for-the-badge" alt="Vision">
	</p>

	## 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
	```bash
	curl -fsSL https://ollama.com/install.sh \| sh
	```

	### Step 2: Download & Create ULTRON V2
	```bash
	# 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
	```bash
	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

	```bash
	./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)

	```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
	```bash
	# 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](https://starcv.co.in)
	- Nexify AI Platform: [nexify.ai](https://nexify.ai)
	- Built by: Kashif Siddiqui / Nexify Labs

	---

	— ULTRON V2 \| Kashif Siddiqui / Nexify Labs 🔴