2024

MaLA-500: Massive Language Adaptation of Large Language Models

Lin, Peiqin, Ji, Shaoxiong, Tiedemann, Jörg et al.

Understand

Large language models (LLMs) have advanced the state of the art in natural language processing.

  • However, their predominant design for English or a limited set of languages creates a substantial gap in their effectiveness for low-resource languages.
  • To bridge this gap, we introduce MaLA-500, a novel large language model designed to cover an extensive range of 534 languages.
  • To train MaLA-500, we employ vocabulary extension and continued pretraining on LLaMA 2 with Glot500-c.

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