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