| Today, with great pride, I am excited to officially announce the first open-source AI model series emerging from Egypt. The Horus-1.0 series consists of text generation models, fully trained from scratch on trillions of clean training tokens. Today, I am also proud to announce the release of the first model in the Horus series: Horus-1.0-4B, featuring an 8K context length. The model is available in 7 different versions:
This provides exceptional flexibility for developers and researchers based on their available computational resources. Horus is available as an open-source model under TokenAI, and you can explore all available versions along with detailed usage instructions on the official website: You can also easily download and use the model through the neuralnode Python framework, which offers a seamless integration experience with the Horus models. In addition, Replica Text-to-Speech is fully integrated within neuralnode. You have access to 20 voices across 10 different languages, including Arabic, allowing easy voice integration with your applications and AI workflows. Now let’s talk about the scale and significance of this achievement. Since there are almost no officially announced AI models in Egypt that are fully built and trained from scratch as open-source models, Horus represents a major milestone:
And all of this is backed by numbers and benchmark results. The Horus model family is:
The Horus-1.0-4B model outperformed several benchmarks, including MMLU, achieving results higher than well-known larger models such as Qwen 3.5-4B and Gemma 2 9B. It also surpassed the same models in the more challenging MMLU Pro, and even outperformed Llama 3.1 8B, despite that model being more than twice the size of Horus. We are looking at a project capable of placing Egypt on the global AI map. Horus is not the first AI model from Egypt, but it is the first officially announced, fully open-source, fully scratch-trained model from Egypt. My goal is not only to build a model, but to build a real Egyptian open-source AI infrastructure. And this is only the beginning of what I believe will become the best AI model in the Arab world. #HorusAI #OpenSourceAI #LLM #ArtificialIntelligence #Egypt #MachineLearning [link] [comments] |
🇪🇬 The First Open-Source AI Model in Egypt!
Reddit r/LocalLLaMA / 4/8/2026
📰 NewsDeveloper Stack & InfrastructureSignals & Early TrendsTools & Practical UsageModels & Research
Key Points
- Egypt-based developers announced the Horus-1.0 open-source AI model series, claiming it was fully trained from scratch on trillions of clean tokens.
- The release includes Horus-1.0-4B, a text generation model with an 8K context length, along with six compressed variants to support different hardware and deployment needs.
- The model family is published under TokenAI, and the article points readers to https://tokenai.cloud/horus for versions and usage instructions.
- The models can be downloaded and used via the neuralnode Python framework, which the post says includes integrated Replica text-to-speech with 20 voices across 10 languages including Arabic.
- The author frames Horus as a major regional milestone, positioning it as the first open-source from-scratch model in Egypt and as a strong performer within its size class and in the Arab language space.


