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README.md
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---
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tags: [hayula, rushd, arabic, qwen, reasoning]
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---
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# Part of **Hayula Agent OS**
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> **15 Specialists. 1 M2 Ultra. Zero Cloud.**
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---
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license: cc-by-4.0
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language: [ar, en]
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library_name: transformers
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tags: [arabic, hayula, rushd]
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---
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# hayulalab/Rushd-Router-8B
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**Multi-Specialist Query Router**
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Routes queries to the appropriate Rushd specialist. 99% routing accuracy on held-out set.
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| Property | Value |
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|----------|-------|
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| Base Model | Qwen3-8B + LoRA (r=16) |
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| Training | 22 min on M2 Ultra, val loss 0.014 |
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| Performance | 99% routing accuracy |
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| Framework | MLX (Apple Silicon) |
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| License | CC-BY-4.0 |
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## Usage
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("Qwen/Qwen3-8B", adapter_path="hayulalab/Rushd-Router-8B")
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response = generate(model, tokenizer, prompt="Your query here")
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```
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## Citation
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```bibtex
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@misc{hayula-rushd-router-8b,
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author = {Hayula Lab},
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title = {hayulalab/Rushd-Router-8B},
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year = {2026},
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}
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```
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