TigerLLM - A Family of Bangla Large Language Models

Nishat Raihan; Marcos Zampieri

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arXiv · 2503.10995

TigerLLM - A Family of Bangla Large Language Models

Nishat Raihan·Marcos Zampieri

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Abstract

The development of Large Language Models (LLMs) remains heavily skewed towards English and a few other high-resource languages. This linguistic disparity is particularly evident for Bangla - the 5th most spoken language. A few initiatives attempted to create open-source Bangla LLMs with performance still behind high-resource languages and limited reproducibility. To address this gap, we introduce TigerLLM - a family of Bangla LLMs. Our results demonstrate that these models surpass all open-source alternatives and also outperform larger proprietary models like GPT3.5 across standard benchmarks, establishing TigerLLM as the new baseline for future Bangla language modeling.

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Nishat Raihan, Marcos Zampieri. 2025-03-14. TigerLLM - A Family of Bangla Large Language Models. https://arxiv.org/abs/2503.10995

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