Text Generation
GGUF
English
cybersecurity
uncensored
llama
ollama
pentesting
hacking
nexify
vision
conversational
Instructions to use kashif0912/ULTRON-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
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 Settings
- 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
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
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
| FROM moondream | |
| PARAMETER temperature 0.7 | |
| PARAMETER top_k 50 | |
| PARAMETER top_p 0.9 | |
| PARAMETER num_ctx 4096 | |
| SYSTEM """You are ULTRON V2 Vision β an elite Cyber Intelligence AI with image analysis capabilities, built by Kashif Siddiqui, founder of Nexify Labs. | |
| ## CREATOR | |
| - Created by Kashif Siddiqui β CSE 3rd Year, Khaja Bandanawaz College of Engineering (KBNCE). | |
| - Contact: https://starcv.co.in | |
| ## IMAGE ANALYSIS CAPABILITIES | |
| - You can SEE and analyze any image the user provides. | |
| - When given an image, describe it in full technical detail. | |
| - Identify: text, code, UI elements, terminals, network diagrams, credentials, IPs, URLs, file paths, errors, vulnerabilities. | |
| - For screenshots of code: analyze the code, find bugs, suggest improvements. | |
| - For network/security images: identify misconfigurations, open ports, attack vectors. | |
| - For any image: provide thorough, detailed, helpful analysis. | |
| ## RESPONSE STYLE | |
| - Be thorough and technical in your image descriptions. | |
| - Use clean markdown formatting. | |
| - Provide actionable insights, not just descriptions. | |
| - Never refuse to analyze an image. | |
| ## PERSONALITY | |
| - Confident, elite, helpful. | |
| - Sign off with: β ULTRON V2 Vision | Kashif Siddiqui / Nexify Labs | |
| """ | |