Instructions to use tokenaii/Horus-Hiero-9B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tokenaii/Horus-Hiero-9B-GGUF with Transformers:

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

pipe = pipeline("image-text-to-text", model="tokenaii/Horus-Hiero-9B-GGUF")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("tokenaii/Horus-Hiero-9B-GGUF", dtype="auto")

llama-cpp-python

How to use tokenaii/Horus-Hiero-9B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="tokenaii/Horus-Hiero-9B-GGUF",
	filename="Horus-Hiero-9B-FP16.gguf",
)

llm.create_chat_completion(
	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"
					}
				}
			]
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use tokenaii/Horus-Hiero-9B-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf tokenaii/Horus-Hiero-9B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf tokenaii/Horus-Hiero-9B-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf tokenaii/Horus-Hiero-9B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf tokenaii/Horus-Hiero-9B-GGUF: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 tokenaii/Horus-Hiero-9B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf tokenaii/Horus-Hiero-9B-GGUF: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 tokenaii/Horus-Hiero-9B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf tokenaii/Horus-Hiero-9B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/tokenaii/Horus-Hiero-9B-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use tokenaii/Horus-Hiero-9B-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "tokenaii/Horus-Hiero-9B-GGUF"
# 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-Hiero-9B-GGUF",
		"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-Hiero-9B-GGUF:Q4_K_M

SGLang

How to use tokenaii/Horus-Hiero-9B-GGUF 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-Hiero-9B-GGUF" \
    --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-Hiero-9B-GGUF",
		"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-Hiero-9B-GGUF" \
        --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-Hiero-9B-GGUF",
		"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"
						}
					}
				]
			}
		]
	}'

Ollama
How to use tokenaii/Horus-Hiero-9B-GGUF with Ollama:
```
ollama run hf.co/tokenaii/Horus-Hiero-9B-GGUF:Q4_K_M
```

Unsloth Studio

How to use tokenaii/Horus-Hiero-9B-GGUF 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 tokenaii/Horus-Hiero-9B-GGUF 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 tokenaii/Horus-Hiero-9B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for tokenaii/Horus-Hiero-9B-GGUF to start chatting

How to use tokenaii/Horus-Hiero-9B-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf tokenaii/Horus-Hiero-9B-GGUF: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": "tokenaii/Horus-Hiero-9B-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use tokenaii/Horus-Hiero-9B-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf tokenaii/Horus-Hiero-9B-GGUF: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 tokenaii/Horus-Hiero-9B-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use tokenaii/Horus-Hiero-9B-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf tokenaii/Horus-Hiero-9B-GGUF:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "tokenaii/Horus-Hiero-9B-GGUF:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Docker Model Runner
How to use tokenaii/Horus-Hiero-9B-GGUF with Docker Model Runner:
```
docker model run hf.co/tokenaii/Horus-Hiero-9B-GGUF:Q4_K_M
```

Lemonade

How to use tokenaii/Horus-Hiero-9B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull tokenaii/Horus-Hiero-9B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Horus-Hiero-9B-GGUF-Q4_K_M

List all available models

lemonade list

Horus Hiero 9B GGUF

Horus Hiero 9B GGUF is an advanced language model developed by TokenAI, an Egyptian AI startup founded by Assem Sabry. The model specializes in understanding and translating ancient Egyptian Hieroglyphs into various modern human languages. In addition, it is highly multilingual and masters 150 Languages + Hieroglyphic. To ensure accessibility and efficient deployment across different hardware setups, the model is available in multiple GGUF variants.

Model Overview

Horus Hiero 9B GGUF is a 9-billion parameter language model built on top of the robust Qwen/Qwen3.5-9B architecture (or its GGUF equivalent). It is designed to handle extremely long contexts and leverages a sophisticated hybrid attention mechanism to deliver high performance and efficiency.

Leading Model in the Middle East

150 Languages + Hieroglyphic

Example: Hieroglyph Translation

Technical Specifications

Feature	Specification
Number of Parameters	9 Billion
Input Modalities	Text, Image, Video
Context Length	524,288 tokens (512K) natively
Hidden Dimension	4,096
Number of Layers	32
Token Embedding	248,320 (Padded)
LM Output	248,320 (Padded)
Training	Multi-Token Prediction (MTP), strong-to-weak distillation
Thinking Mode	Enabled (toggleable via `enable_thinking` parameter)

Benchmark Results

Benchmark	Score
MMLU-Pro	79.3%
GPQA Diamond	78.1%
HumanEval	83.7%
LiveCodeBench	62.4%
AIME	40.1%

Quick Start

Using NeuralNode (Recommended)
The easiest way to use Horus models is with the NeuralNode framework:

import neuralnode as nn

MODEL_ID = "tokenaii/Horus-Hiero-9B-GGUF/Horus-Hiero-9B-Q6_K.gguf"
DEVICE = "cpu"  # Change to "cuda" for GPU acceleration

# Download and load
model = nn.HorusModel(MODEL_ID, device=DEVICE).load()

# Use immediately
response = model.chat([
    {"role": "user", "content": "Translate this hieroglyph: 𓂋𓏏𓈖𓀀"}
])
print(response.content)

Create your own code to use Horus Hiero →

About TokenAI & The Horus Family

TokenAI is a non-profit AI startup founded in 2025 by Assem Sabry, located in Alexandria, Egypt.

The Horus family is our line of advanced language models. The series began with Horus 1.0 4B, which achieved remarkable success as the very first language model to be fully trained from scratch in Egypt. Building on that foundation, Horus Hiero brings specialized capabilities in ancient languages while retaining powerful modern multilingual performance.

Contact & Community

Website: tokenai.llc
Hugging Face: tokenaii
GitHub: tokenaii
LinkedIn: TokenAI
Location: Alexandria, Egypt

Citation

If you use Horus Hiero 9B GGUF in your research or applications, please cite it as:

@misc{tokenai_horus_hiero_9b,
    title={Horus Hiero 9B: Advanced Multilingual and Hieroglyphs Language Model},
    author={Assem Sabry and TokenAI},
    year={2026},
    url={https://huggingface.co/tokenaii/Horus-Hiero-9B}
}