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README.md
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# Model Card for
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## Model Details
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### Model Description
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Monlam Melong is a large language model (LLM) specifically designed to support and enhance Natural Language Processing (NLP) tasks for the Tibetan language, a traditionally low-resource language. The model can handle a range of NLP tasks, including machine translation, named entity recognition (NER), question answering, text generation, and sentence segmentation. It supports translation from over 200 languages into Tibetan and vice versa, making it one of the most comprehensive AI models for Tibetan language processing to date.
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Monlam Melong was developed as part of Monlam AI's initiative to preserve and promote the Tibetan language and cultural heritage. By building and training a Tibetan-centric LLM, MonlamMelong addresses the technological gap that has historically excluded low-resource languages from mainstream AI development.
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# Model Card for Monlam Melong preview
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## Model Details
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### Model Description
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Monlam Melong is a large language model (LLM)(Tibetan LLM) specifically designed to support and enhance Natural Language Processing (NLP) tasks for the Tibetan language, a traditionally low-resource language. The model can handle a range of NLP tasks, including machine translation, named entity recognition (NER), question answering, text generation, and sentence segmentation. It supports translation from over 200 languages into Tibetan and vice versa, making it one of the most comprehensive AI models for Tibetan language processing to date.
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Monlam Melong was developed as part of Monlam AI's initiative to preserve and promote the Tibetan language and cultural heritage. By building and training a Tibetan-centric LLM, MonlamMelong addresses the technological gap that has historically excluded low-resource languages from mainstream AI development.
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