---
library_name: rushd
license: apache-2.0
language:
- ar
- en
tags:
- rushd
- moe
- arabic-nlp
- early-exit
- mixture-of-experts
pipeline_tag: text-generation
base_model: Qwen/Qwen3.5-27B
---

# Rushd-Agent

An efficient MoE-based agentic system with NCI-driven early exit for Arabic natural language understanding.

## Architecture

- **Router**: Qwen2.5-7B with quantile-balanced expert selection
- **Experts**: 6 domain-specialized Qwen3.5 models (Geo 27B + Writer/Game/Decision/Plan/Logic 9B)
- **Early Exit**: Noema Predictor (21M params, 98.3% accuracy, 3.8x speedup)
- **API**: OpenAI-compatible server on port 8777

## Paper

See `rushd_agent_paper.pdf` for full details.

## Citation

```bibtex
@misc{yahya2025rushd,
  title={Rushd-Agent}: An Efficient MoE-Based Agentic System with NCI-Driven Early Exit,
  author={Yahya},
  year={2025},
  publisher={Hugging Face}
}
```