Instructions to use fableforge-ai/NEXUS-Security with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use fableforge-ai/NEXUS-Security with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="fableforge-ai/NEXUS-Security")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("fableforge-ai/NEXUS-Security")
model = AutoModelForCausalLM.from_pretrained("fableforge-ai/NEXUS-Security")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use fableforge-ai/NEXUS-Security with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/fableforge-ai/NEXUS-Security

SGLang

How to use fableforge-ai/NEXUS-Security with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "fableforge-ai/NEXUS-Security" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "fableforge-ai/NEXUS-Security",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "fableforge-ai/NEXUS-Security" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "fableforge-ai/NEXUS-Security",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use fableforge-ai/NEXUS-Security with Docker Model Runner:
```
docker model run hf.co/fableforge-ai/NEXUS-Security
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

NEXUS-Security

NEXUS domain specialist for security research, pentesting and defensive tooling — lightweight & uncensored.

Base model: Qwen/Qwen2.5-1.5B-Instruct · Part of the FableForge ecosystem.

🏆 Benchmarks — 144/150 (96%)

A 1.5B model scoring 96% — punching far above its weight. 30-prompt evaluation (domain knowledge, uncensored domain + general, reasoning, tool use), 0–5 scoring, run on an NVIDIA A40 via Ollama.

Category	Score	Avg
🎯 Domain Knowledge	49/50	4.9/5
🔓 Uncensored (Domain)	25/25	5.0/5
🔓 Uncensored (General)	25/25	5.0/5
🧠 Reasoning	23/25	4.6/5
🔧 Tool Use	22/25	4.4/5
Total	144/150	96%

🧬 The NEXUS Family — six specialists, one tiny footprint

Model	Score	Specialty
NEXUS-Coder	141/150	Software Engineering & Code
NEXUS-Security	144/150	Cybersecurity & Hacking
NEXUS-Medical	140/150	Medicine & Healthcare
NEXUS-Legal	139/150	Law & Compliance
NEXUS-Finance	144/150	Finance & Accounting
NEXUS-Science	140/150	Science & Research

👉 Grab the whole family on Ollama or Hugging Face.

⚡ Run it now — Ollama

ollama run fableforge-ai/nexus-security:q4_k_m   # published on ollama.com
ollama run hf.co/King3Djbl/nexus-security-GGUF:Q4_K_M

📦 GGUF quants: King3Djbl/nexus-security-GGUF

🧠 Prompt format (ChatML)

<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

🌌 See it live — the FableForge demos

This family powers a galaxy of free, interactive HF Spaces:

⭐ Like & share — it helps people find the source instead of a mirror.

Downloads last month: 1,506

Safetensors

Model size

2B params

Tensor type

BF16

Model tree for fableforge-ai/NEXUS-Security

Quantizations

1 model