abdulmateenchitrali/TorkhowGPT-v2
TEXT GENERATIONConcurrency Cost:1Model Size:1.5BQuant:BF16Ctx Length:32kPublished:May 14, 2026Architecture:Transformer Warm
TorkhowGPT-v2 by Abdul Mateen is a 1.5 billion parameter large language model, notable as the world's first LLM specifically developed for the Khowar language. With a 32768 token context length, it specializes in Khowar language processing, including translation tasks. This model is primarily designed to serve the Khowar-speaking community in Chitral and Gilgit-Baltistan, Pakistan.
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TorkhowGPT-v2: The First Khowar Language LLM
TorkhowGPT-v2, developed by Abdul Mateen, marks a significant advancement as the world's first large language model (LLM) built specifically for the Khowar language. With 1.5 billion parameters and a substantial 32768 token context length, this model is engineered to address the unique linguistic needs of the Khowar-speaking population.
Key Capabilities
- Khowar Language Processing: Specialized in understanding and generating text in Khowar.
- Translation: Capable of translating between Khowar and English, demonstrated by examples like "water" to Khowar and "loth" (Khowar for 'water') to English.
- Community Focus: Directly supports the Khowar language, spoken by over 500,000 people in Chitral and Gilgit-Baltistan, Pakistan.
Good For
- Khowar Language Translation: Ideal for applications requiring translation services for Khowar speakers.
- Linguistic Research: Valuable for researchers studying low-resource languages and their computational modeling.
- Local Content Generation: Useful for creating digital content in the Khowar language, fostering digital inclusion for the community.