Khurram123/Qwen-Urdu-Shaheen-7B-Instruct-v1
Khurram123/Qwen-Urdu-Shaheen-7B-Instruct-v1 is a 7 billion parameter Urdu Language Model, fine-tuned by Khurram123 on the Qwen 2.5 7B Instruct architecture. Optimized with Unsloth, it specializes in Urdu literary depth, including the philosophy of Allama Iqbal and poetry of Ghalib, and excels at precise Urdu command following. This model is designed to bridge classical Urdu heritage with modern conversational AI, processing 1.83 million curated Urdu records.
Loading preview...
Qwen-Urdu-Shaheen-7B-Instruct: Bridging Urdu Heritage and AI
Khurram123/Qwen-Urdu-Shaheen-7B-Instruct-v1 is a specialized 7 billion parameter Urdu Language Model built upon the Qwen 2.5 7B Instruct architecture. Fine-tuned by Khurram123 using Unsloth for efficient training, this model stands out for its deep cultural and linguistic understanding of Urdu.
Key Capabilities
- Extensive Urdu Knowledge: Fine-tuned on a massive 1.83 million row corpus, encompassing classical literature, contemporary news, and instructional data.
- Literary Specialization: Proficient in the philosophy of Allama Iqbal and the poetry of Ghalib and Ahmed Faraz, offering nuanced analysis and generation.
- Instruction Following: Optimized with the Alif-Instruct dataset for precise command execution in Urdu.
- Modern Context Integration: Incorporates the Lughat News Corpus for contemporary vocabulary and news synthesis.
- OCR Synergized: Capable of processing and generating poetic couplets derived from Urdu Poetry OCR datasets, including Nastaliq script.
Good For
- Applications requiring deep understanding and generation of Urdu literary content.
- Conversational AI systems needing precise Urdu instruction following.
- Research and development in Urdu natural language processing, especially for historical and poetic texts.
- Tasks involving the synthesis of modern Urdu prose and news-related content.