Model Overview
Horus Hiero 9B 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
Model Variants
The following quantized versions are available for different deployment scenarios:
| Variant | Format | Size | Best For |
|---|---|---|---|
| Full 16-bit | Safetensors | ~18.0 GB | Maximum quality, GPU inference |
| GGUF Repo | GGUF | Various | All quantized variants (Q2_K through Q8_0) |
| Q8_0 | GGUF | ~9.8 GB | Minimal quality loss |
| Q6_K | GGUF | ~7.6 GB | Near-full quality |
| Q4_K_M | GGUF | ~5.8 GB | Balanced quality/size, CPU+GPU |
| Q2_K | GGUF | ~3.9 GB | Maximum compression, lower RAM usage |
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
# For GGUF models (recommended):
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 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}
}