BinSaqban/Averroes-Q

TEXT GENERATIONConcurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jun 8, 2026Architecture:Transformer Featherless Exclusive Cold

BinSaqban/Averroes-Q is an Arabic Large Language Model developed by Hayula Lab, based on the Qwen2.5-7B architecture. This model is specifically designed for Arabic language processing and is part of the broader Hayula Agent OS ecosystem. It is intended for research purposes, focusing on applications within the Hayula framework.

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Averroes-Q: An Arabic LLM by Hayula Lab

Averroes-Q is an Arabic Large Language Model (LLM) developed by Hayula Lab, built upon the Qwen2.5-7B architecture. It is a key component of the larger Hayula Agent OS ecosystem, which comprises 91 open-source AI agents designed for various devices and frameworks, emphasizing local execution without cloud dependencies.

Key Characteristics

  • Arabic Language Focus: Specifically adapted and optimized for processing and generating content in Arabic.
  • Qwen2.5-7B Base: Leverages the robust architecture of Qwen2.5-7B.
  • Hayula Agent OS Integration: Designed to function within the Hayula Agent OS, promoting local AI solutions.

Licensing and Usage

This model is released under the Hayula Research License v1.0, which permits Research Only — No Commercial Use. Users are required to attribute the original creator, Hayula Lab, when utilizing or adapting the model. This model is suitable for researchers and developers exploring Arabic NLP within a non-commercial context, particularly those interested in the Hayula Agent OS framework.