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arXiv · 2402.09977

Fast Vocabulary Transfer for Language Model Compression

Leonidas Gee·Andrea Zugarini·Leonardo Rigutini·Paolo Torroni
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Abstract

Real-world business applications require a trade-off between language model performance and size. We propose a new method for model compression that relies on vocabulary transfer. We evaluate the method on various vertical domains and downstream tasks. Our results indicate that vocabulary transfer can be effectively used in combination with other compression techniques, yielding a significant reduction in model size and inference time while marginally compromising on performance.

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Leonidas Gee, Andrea Zugarini, Leonardo Rigutini, Paolo Torroni. 2024-02-15. Fast Vocabulary Transfer for Language Model Compression. https://doi.org/10.18653/v1/2022.emnlp-industry.41

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