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# Model Card for Ganga-1b! 🌊
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The base model **``Ganga-1b``** trained on a monolingual **Hindi** language dataset as part of ***Project Unity***.
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### Model Description 📚
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Project Unity is an initiative aimed at addressing **India's linguistic diversity** and richness by creating a comprehensive resource that covers the country's major languages. Our goal is to achieve state-of-the-art performance in understanding and generating text in **Indian languages**.
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To achieve this, we train models on the monolingual regional languages of India. Our first release is the *Ganga-1B* model, *which has been trained on a large dataset of public domain web-crawled hindi language data, including news articles, web documents, books, government publications, educational materials, and social media conversations (filtered for quality)*. Additionally, the dataset has been further curated by native Indian speakers to ensure high-quality.
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Importantly, the **Ganga-1B** model outperforms existing open-source models that support **Indian languages**, even at sizes of up to **7 billion parameters**.
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# Model Card for Ganga-1b! 🌊
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The base model **``Ganga-1b``** trained on a monolingual **Hindi** language dataset as part of ***Project Unity***. We propose the name *Ganga* 🌊 to honor the longest river flowing through the Hindi-speaking region of India 🇮🇳.
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<br> *(The first pre-trained Hindi model by any academic research lab in India 🇮🇳!)**
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### Model Description 📚
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**Project Unity** is an initiative aimed at addressing **India's linguistic diversity** and richness by creating a comprehensive resource that covers the country's major languages. Our goal is to achieve state-of-the-art performance in understanding and generating text in **Indian languages**.
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To achieve this, we train models on the monolingual regional languages of India. Our first release is the *Ganga-1B* model, *which has been trained on a large dataset of public domain web-crawled hindi language data, including news articles, web documents, books, government publications, educational materials, and social media conversations (filtered for quality)*. Additionally, the dataset has been further curated by native Indian speakers to ensure high-quality.
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Importantly, the **Ganga-1B** model outperforms existing open-source models that support **Indian languages**, even at sizes of up to **7 billion parameters**.
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