Instructions to use tokenaii/Horus-Cyber-Nano-1.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tokenaii/Horus-Cyber-Nano-1.2 with Transformers:

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

pipe = pipeline("image-text-to-text", model="tokenaii/Horus-Cyber-Nano-1.2")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("tokenaii/Horus-Cyber-Nano-1.2", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use tokenaii/Horus-Cyber-Nano-1.2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "tokenaii/Horus-Cyber-Nano-1.2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "tokenaii/Horus-Cyber-Nano-1.2",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/tokenaii/Horus-Cyber-Nano-1.2

SGLang

How to use tokenaii/Horus-Cyber-Nano-1.2 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 "tokenaii/Horus-Cyber-Nano-1.2" \
    --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": "tokenaii/Horus-Cyber-Nano-1.2",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

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 "tokenaii/Horus-Cyber-Nano-1.2" \
        --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": "tokenaii/Horus-Cyber-Nano-1.2",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use tokenaii/Horus-Cyber-Nano-1.2 with Docker Model Runner:
```
docker model run hf.co/tokenaii/Horus-Cyber-Nano-1.2
```

Horus Cyber Nano 1.2

Official model page: Horus Cyber Nano 1.2

Horus Cyber Nano 1.2 is TokenAI's multimodal cybersecurity model for secure code review, vulnerability analysis, authorized red-team reasoning, terminal workflows, tool-use reasoning, and image-grounded technical understanding.

Note: This repository is under active development. Weights, technical specifications, benchmarks, and runtime guidance will be published here with the official 1.2 release.

Overview

Horus Cyber Nano 1.2 is built for practical defensive security work. The model accepts text and images as input and produces text output, making it useful for code review, terminal-centric investigation, screenshot analysis, and long-context technical reasoning.

Developed by TokenAI, Horus Cyber Nano 1.2 is part of the Horus model family and is positioned as a specialized model for security-heavy engineering workflows rather than a general-purpose assistant.

Model Links

Main model: tokenaii/Horus-Cyber-Nano-1.2
GGUF repo: tokenaii/Horus-Cyber-Nano-1.2-GGUF
Technical page: tokenai.llc/models/horus-cyber-nano1.2

What It Can Do

1. Secure Code Review

Analyze source code for security weaknesses, explain root causes, map issues to secure engineering patterns, and suggest safer remediation paths.

2. Red Team Task Reasoning

Break down authorized security-testing tasks into structured steps, hypotheses, and evidence-oriented analysis suitable for controlled environments.

3. Terminal and Tool Workflows

Understand command-line tasks, propose useful commands, interpret outputs, and support multi-step technical workflows involving tools and system state.

4. Cybersecurity Vision Understanding

Read screenshots, code images, and terminal captures to extract technical details and convert them into actionable text analysis.

Intended Use

Secure code review
Vulnerability triage and remediation guidance
Terminal-centric engineering workflows
Tool-augmented reasoning for defensive security analysis
Screenshot and code-image understanding

Safety Note

Horus Cyber Nano 1.2 is intended for authorized security analysis and defensive workflows. Public benchmarking, documentation, and deployment guidance should be interpreted within that scope.

Contact & Community

Website: tokenai.llc
Hugging Face: huggingface.co/tokenaii
Contact: info@tokenai.llc

Citation

@misc{tokenai_horus_cyber_nano_1_2_2026,
  title        = {Horus Cyber Nano 1.2},
  author       = {TokenAI},
  year         = {2026},
  publisher    = {Hugging Face},
  howpublished = {\url{https://huggingface.co/tokenaii/Horus-Cyber-Nano-1.2}},
  note         = {Multimodal MoE model for secure coding, terminal workflows, and cybersecurity reasoning}
}

License

Horus Cyber Nano 1.2 is released under the TokenAI Custom License. Final license text and release usage terms will be published with the official release materials.

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