Mahmoud7Dev/qwen2.5-1.5b-medical-merged
TEXT GENERATIONConcurrency Cost:1Model Size:1.5BQuant:BF16Ctx Length:32kPublished:Feb 22, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The Mahmoud7Dev/qwen2.5-1.5b-medical-merged model is an Arabic medical chat model, built upon the Qwen/Qwen2.5-1.5B-Instruct architecture. This 1.5 billion parameter model has been fine-tuned using LoRA on medical symptom and disease data, making it specialized for initial medical assistance queries in Arabic. It is designed to provide preliminary medical guidance without offering definitive diagnoses or treatments, leveraging its 32768 token context length for comprehensive interactions.
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Mahmoud7Dev/qwen2.5-1.5b-medical-merged: Arabic Medical Assistant
This model is an initial Arabic medical chat model developed by Mahmoud7Dev. It is based on the Qwen/Qwen2.5-1.5B-Instruct architecture, a 1.5 billion parameter language model, and has a context length of 32768 tokens.
Key Capabilities
- Specialized Medical Dialogue: Fine-tuned specifically on medical symptom and disease data, enabling it to understand and respond to health-related queries.
- Arabic Language Support: Designed to operate exclusively in Arabic, making it suitable for Arabic-speaking users and applications.
- Preliminary Medical Assistance: Functions as an initial medical assistant, providing guidance based on described symptoms without offering definitive diagnoses or treatment plans.
Good For
- Initial Symptom Assessment: Users seeking preliminary information or understanding of potential medical conditions based on symptoms.
- Arabic Healthcare Applications: Integration into applications requiring an AI assistant for non-diagnostic medical information in Arabic.
- Educational Purposes: Providing general medical knowledge and information in a conversational format.