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Language modeling has witnessed remarkable advancements in recent years, withLarge Language Models (LLMs) like ChatGPT setting unparalleled benchmarks inhuman-like text generation. However, a prevailing limitation is theunderrepresentation of languages like Tamil in these cutting-edge models,leading to suboptimal performance in diverse linguistic contexts. This paperaddresses this lacuna, enhancing the open-source LLaMA model with an additionof 16,000 Tamil tokens, aiming to achieve superior text generation andcomprehension in the Tamil language. We strategically employ the LoRAmethodology for efficient model training on a comprehensive Tamil corpus,ensuring computational feasibility and model robustness. Moreover, we introducea Tamil-translated version of the Alpaca dataset and a subset of the OpenOrcadataset tailored for instruction fine-tuning. Our results showcase significantperformance improvements in Tamil text generation, with potential implicationsfor the broader landscape of LLMs in Indian languages. We further underscoreour commitment to open research by making our models, datasets, and codepublicly accessible, fostering further innovations in language modeling.

Tamil-Llama: A New Tamil Language Model Based on Llama 2