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averroes-q-instruct-paper
hayulalab/averroes-q-instruct-paper
averroes-q-instruct-paper is a machine learning model from hayulalab. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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Updated Jul 8, 2026
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- License
- mit
- Access
- Public
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026
- SHA
- 55909893
Model card
From the Hugging Face model README
Averroes-Q-Instruct: A Bilingual Arabic-English 7B Instruction-Tuned Model for the Hayula Ecosystem — Hayula Research
Hayula AI Lab
Abstract
We present Averroes-Q-Instruct (ابن رشد), a bilingual Arabic-English 7-billion parameter instruction-tuned language model built on Qwen2.5-7B-Instruct. The model was fine-tuned on 55K human-written instructions spanning both Arabic and English, using Low-Rank Adaptation (LoRA) via the MLX framework on a single Apple M2 Ultra workstation with 192GB unified memory. Averroes-Q-Instruct achieves a final training loss of 1.434, demonstrating effective bilingual instruction following without catastrop
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| File | Description |
|---|---|
paper.md | Full paper (Markdown) |
README.md | This model card |
Citation
@techreport{hayulalab2026averroesqinstruct,
title={Averroes-Q-Instruct: A Bilingual Arabic-English 7B Instruction-Tuned Model for the Hayula Ecosystem — Hayula Research},
author={Hayula AI Lab},
year={2026},
url={https://huggingface.co/hayulalab/averroes-q-instruct-paper}
}
hayulalab — Open Source AI Research
- License
- mit
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026