BinSaqban/Averroes-Q
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 8, 2026License:cc-by-4.0Architecture:Transformer Open Weights 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 and optimized for Arabic language processing tasks. It provides a specialized solution for applications requiring robust performance in Arabic natural language understanding and generation. The model is licensed under CC-BY-4.0, requiring attribution to Hayula Lab.
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Overview
BinSaqban/Averroes-Q is an Arabic Large Language Model (LLM) developed by Hayula Lab. It is built upon the Qwen2.5-7B architecture, indicating a foundation in a well-regarded base model, specifically adapted for the Arabic language.
Key Characteristics
- Arabic Language Focus: This model is explicitly designed and optimized for processing and generating content in Arabic.
- Base Architecture: Leverages the Qwen2.5-7B model as its foundation, suggesting a robust and capable starting point for its development.
- Attribution Required: The model is distributed under the CC-BY-4.0 license, which mandates clear attribution to Hayula Lab when used, shared, or adapted.
Use Cases
- Arabic NLP Applications: Ideal for various natural language processing tasks where Arabic is the primary language.
- Content Generation: Suitable for generating text, summaries, or responses in Arabic.
- Research and Development: Can serve as a base for further research and fine-tuning on specific Arabic datasets or domains.