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Home/Models/AI4Bharat - Romansetu-200M -Multilingual LLM for Indian langauges using romanization

AI4Bharat - Romansetu-200M -Multilingual LLM for Indian langauges using romanization

RomanSetu is Efficiently unlocking multilingual (Indian Languages) capabilities of Large Language Models via Romanization.

About Model

RomanSetu presents an approach that involves the continual pretraining of an English LLM, such as Llama 2, on romanized text of non-English, non-Roman script languages, followed by instruction tuning on romanized data. For continual pretraining, approximately 200 million words per language were collected and transliterated using IndicXlit with romanized data used in training.

AI4Bharat - Romansetu-200M -Multilingual LLM for Indian langauges using romanization

Metadata Metadata

Llama 2 Community License Agreement

Jaavid Aktar Husain, Raj Dabre, Aswanth Kumar, Jay Gala, Thanmay Jayakumar, Ratish Puduppully, Anoop Kunchukuttan

Multilingual Model

N.A.

Open

AI4Bharat

Sector Agnostic

02/05/25 11:00:58

Nikhil Narasimhan

0

Activity Overview Activity Overview

  • Downloads0
  • Redirect 4
  • Views 193
  • File Size 0

Tags Tags

  • Llama
  • Multilingual
  • Instruction-Tuning
  • LLaMA2

License Control License Control

Llama 2 Community License Agreement

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