hayulalab/Averroes-v2-Instruct

TEXT GENERATIONConcurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jun 11, 2026Architecture:Transformer Featherless Exclusive Cold

Averroes-v2-Instruct is an Arabic instruction-tuned model developed by Hayula Lab, designed for natural language processing tasks in Arabic. This model is part of the Hayula Agent OS ecosystem, focusing on enabling AI agents on local hardware without cloud dependencies. It is specifically optimized for Arabic language understanding and generation, making it suitable for applications requiring robust Arabic NLP capabilities.

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Overview

hayulalab/Averroes-v2-Instruct is an Arabic instruction-tuned model developed by Hayula Lab. It represents the second version of their Arabic instruction model, designed to facilitate natural language processing tasks specifically in the Arabic language. This model is an integral component of the broader Hayula Agent OS ecosystem, which emphasizes open-source AI agents operating on local hardware, promoting data privacy and independence from cloud services.

Key Capabilities

  • Arabic Language Processing: Specialized in understanding and generating text in Arabic.
  • Instruction Following: Fine-tuned to follow instructions effectively for various NLP tasks.
  • Local Deployment Focus: Designed to be part of an ecosystem that supports deployment on diverse local devices and frameworks, minimizing reliance on cloud infrastructure.

Licensing and Attribution

The model is distributed under the Hayula Research License v1.0, which permits research use but prohibits commercial applications. Users are required to attribute Hayula Lab when utilizing or adapting the model, specifically stating: "Based on hayulalab/Averroes-v2-Instruct by Hayula Lab (https://huggingface.co/hayulalab)".

Good For

  • Researchers and developers working on Arabic NLP projects.
  • Applications requiring an instruction-following model for Arabic text.
  • Projects aiming for local, privacy-focused AI deployments within the Hayula Agent OS framework.