hayulalab/Hayula-Rushd-v2-Instruct

TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 15, 2026License:cc-by-4.0Architecture:Transformer Open Weights Cold

Hayula-Rushd-v2-Instruct is a 7.6 billion parameter instruction-tuned language model developed by Hayula Lab, specifically designed as a next-generation Arabic instruction model. It focuses on understanding and generating high-quality responses in Arabic, making it suitable for applications requiring advanced Arabic language processing. This model is optimized for instruction-following tasks within the Arabic linguistic context.

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Hayula-Rushd-v2-Instruct Overview

Hayula-Rushd-v2-Instruct is a 7.6 billion parameter instruction-tuned language model developed by Hayula Lab. This model is engineered as a next-generation solution for Arabic language processing, focusing on robust instruction-following capabilities.

Key Characteristics

  • Parameter Count: Features 7.6 billion parameters, offering a balance between performance and computational efficiency.
  • Context Length: Supports a substantial context window of 32768 tokens, enabling the processing of longer and more complex Arabic texts.
  • Instruction-Tuned: Specifically optimized for understanding and executing instructions, making it highly adaptable for various task-oriented applications.
  • Arabic Language Focus: Designed from the ground up to excel in Arabic, providing high-quality generation and comprehension for Arabic-specific use cases.

Licensing and Attribution

The model is released under the CC-BY-4.0 license, requiring attribution to Hayula Lab when used, shared, or adapted. Users must include the attribution: "Based on hayulalab/Hayula-Rushd-v2-Instruct by Hayula Lab (https://huggingface.co/hayulalab)".

Ideal Use Cases

  • Arabic Chatbots and Assistants: Developing conversational AI systems that require nuanced understanding and generation in Arabic.
  • Content Generation: Creating high-quality Arabic text for various purposes, from creative writing to informational articles.
  • Instruction Following: Applications where the model needs to accurately follow complex instructions provided in Arabic.
  • Research and Development: Exploring advanced Arabic NLP tasks and building upon a specialized Arabic instruction model.

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