tokenaii/Horus-Hiero-9B-GGUF overview

---

pipeline_tag: image-text-to-text

base_model: tokenaii/Horus-Hiero-9B

language:

• multilingual

library_name: transformers

tags:

• llm
• image-text-to-text
• neuralnode
• multilingual
• horus
• tokenai

---

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<h1><b style="font-size: 1.5em;">Horus Hiero 9B GGUF</b></h1>

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<img src="media/Horus%20Hiero.png" alt="Horus Hiero 9B GGUF" width="600"/>

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<b>Horus Hiero 9B GGUF</b> is an advanced language model developed by <b>TokenAI</b>, 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 <b>150 Languages + Hieroglyphic</b>. To ensure accessibility and efficient deployment across different hardware setups, the model is available in multiple GGUF variants.

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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

<img src="media/middle%20east%20top%20models.png" alt="Middle East Top Models" width="100%"/>

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150 Languages + Hieroglyphic

<img src="media/languages.png" alt="Languages" width="100%"/>

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Example: Hieroglyph Translation

<img src="media/mode%20lchat.png" alt="Translation Example" width="100%"/>

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)

<br><p align="center"><a href="https://tokenai.llc/projects/horus-hiero"><b>Create your own code to use Horus Hiero →</b></a></p>

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}
}