BinSaqban/Hayula-Rushd-Q-Instruct-v4
BinSaqban/Hayula-Rushd-Q-Instruct-v4 is a 7.6 billion parameter instruction-tuned language model developed by Hayula Lab, specifically optimized for Arabic reasoning tasks. This model is part of the Hayula Agent OS ecosystem and features a 32768 token context length. It is designed for research purposes, focusing on Arabic language processing and reasoning capabilities.
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Hayula-Rushd-Q-Instruct-v4 Overview
BinSaqban/Hayula-Rushd-Q-Instruct-v4 is a 7.6 billion parameter instruction-tuned model developed by Hayula Lab, primarily focused on Arabic language processing and reasoning. It is an integral component of the broader Hayula Agent OS ecosystem, which emphasizes open-source AI agents for local deployment without cloud dependencies.
Key Capabilities
- Arabic Instruction Following: Specifically fine-tuned to understand and respond to instructions in Arabic.
- Reasoning Tasks: Optimized for tasks requiring logical inference and problem-solving within the Arabic language context.
- Extended Context: Features a substantial 32768 token context window, allowing for processing longer Arabic texts and complex instructions.
Licensing and Usage
This model operates under the Hayula Research License v1.0, which permits research-only use and explicitly prohibits commercial applications. Users are required to attribute Hayula Lab when utilizing or adapting the model. It is designed for developers and researchers exploring advanced Arabic NLP and agent-based systems on local hardware.