TigerLLM - A Family of Bangla Large Language Models

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 5 th most spoken language.A few initiatives attempted to create opensource 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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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.acl-short.69
Citations
2
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
4.96
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article

TigerLLM - A Family of Bangla Large Language Models

Marcos Zampieri, Nishat Raihan
2 citations
Natural Language Processing Techniques
4.96
article

TigerLLM - A Family of Bangla Large Language Models

Marcos Zampieri, Nishat Raihan
article en
2 citations

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 5 th most spoken language.A few initiatives attempted to create opensource 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.

George Mason University (US)
Quality Education
Openalex Percentile: Top 5%
Natural Language Processing Techniques
4.96
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