hayulalab/Averroes-v2-Instruct
Averroes-v2-Instruct is a 7.6 billion parameter instruction-tuned causal language model developed by Hayula Lab, specifically optimized for Arabic language processing. This model is designed to understand and generate responses based on Arabic instructions, making it suitable for various Arabic NLP applications. Its 32K context length supports processing longer Arabic texts and complex queries.
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Averroes-v2-Instruct: Arabic Instruction Model
Averroes-v2-Instruct is a 7.6 billion parameter language model developed by Hayula Lab, specifically fine-tuned for understanding and generating content in Arabic based on instructions. This model, with its 32,768 token context window, is designed to handle complex Arabic queries and longer text inputs, providing coherent and contextually relevant responses.
Key Capabilities
- Arabic Instruction Following: Excels at interpreting and executing instructions provided in Arabic.
- Arabic Language Generation: Capable of generating high-quality, contextually appropriate Arabic text.
- Extended Context Window: Supports processing and generating content for longer Arabic documents or conversations due to its 32K context length.
Use Cases
- Arabic Chatbots and Assistants: Ideal for developing conversational AI systems that interact in Arabic.
- Content Creation: Useful for generating various forms of Arabic text, from summaries to creative writing.
- Information Retrieval: Can assist in extracting and synthesizing information from Arabic documents based on specific prompts.
Licensing
This model is released under the CC-BY-4.0 license, requiring attribution to Hayula Lab when used or adapted.