Instructions to use nu11secur1ty/nu11secur1tyAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use nu11secur1ty/nu11secur1tyAI with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="nu11secur1ty/nu11secur1tyAI",
	filename="nu11secur1tyAI4-Evolution-Laptop-Q4_KM.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 nu11secur1ty/nu11secur1tyAI with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf nu11secur1ty/nu11secur1tyAI
# Run inference directly in the terminal:
llama-cli -hf nu11secur1ty/nu11secur1tyAI

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf nu11secur1ty/nu11secur1tyAI
# Run inference directly in the terminal:
llama-cli -hf nu11secur1ty/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 nu11secur1ty/nu11secur1tyAI
# Run inference directly in the terminal:
./llama-cli -hf nu11secur1ty/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 nu11secur1ty/nu11secur1tyAI
# Run inference directly in the terminal:
./build/bin/llama-cli -hf nu11secur1ty/nu11secur1tyAI

Use Docker

docker model run hf.co/nu11secur1ty/nu11secur1tyAI

LM Studio
Jan

vLLM

How to use nu11secur1ty/nu11secur1tyAI with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "nu11secur1ty/nu11secur1tyAI"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "nu11secur1ty/nu11secur1tyAI",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/nu11secur1ty/nu11secur1tyAI

Ollama
How to use nu11secur1ty/nu11secur1tyAI with Ollama:
```
ollama run hf.co/nu11secur1ty/nu11secur1tyAI
```

Unsloth Studio new

How to use nu11secur1ty/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 nu11secur1ty/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 nu11secur1ty/nu11secur1tyAI to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for nu11secur1ty/nu11secur1tyAI to start chatting

Docker Model Runner
How to use nu11secur1ty/nu11secur1tyAI with Docker Model Runner:
```
docker model run hf.co/nu11secur1ty/nu11secur1tyAI
```

Lemonade

How to use nu11secur1ty/nu11secur1tyAI with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull nu11secur1ty/nu11secur1tyAI

Run and chat with the model

lemonade run user.nu11secur1tyAI-{{QUANT_TAG}}

List all available models

lemonade list

nu11secur1ty commited on 19 days ago

Commit

e9e0728

verified ·

1 Parent(s): 4dcc001

Update README.md

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README.md CHANGED Viewed

@@ -46,9 +46,9 @@ The model is available in various quantization levels to support a wide range of
 | Filename | Quantization | Target Hardware | Optimization |
 | :--- | :--- | :--- | :--- |
 | `nu11secur1tyAI4-Evolution-Server-Q8.gguf` | **Q8_0** | Heavy Server | Maximum precision for professional auditing. |
 | `nu11secur1tyAI4-Evolution-Laptop-Q4.gguf` | **Q4_K_M** | Platinum Balance | The "Sweet Spot" for pro laptops (32GB+ RAM). |
-| `nu11secur1tyAI4-Evolution-Laptop-Q3.gguf` | **Q3_K_L** | Low-End Hardware | Lightweight version for legacy or limited machines. |
-| `nu11secur1tyAI4-Evolution-Laptop-IQ4.gguf` | **IQ4_XS** | Extreme Mobile | Optimized for speed and low-power mobile SOCs. |
 ## 🛠️ Usage Instructions

 | Filename | Quantization | Target Hardware | Optimization |
 | :--- | :--- | :--- | :--- |
 | `nu11secur1tyAI4-Evolution-Server-Q8.gguf` | **Q8_0** | Heavy Server | Maximum precision for professional auditing. |
+|  # Laptop                                  |
 | `nu11secur1tyAI4-Evolution-Laptop-Q4.gguf` | **Q4_K_M** | Platinum Balance | The "Sweet Spot" for pro laptops (32GB+ RAM). |
 ## 🛠️ Usage Instructions