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How Vocabulary Size in LLMs Affects Accuracy and Performance

How Vocabulary Size in LLMs Affects Accuracy and Performance

Vocabulary size in large language models directly impacts accuracy, multilingual performance, and efficiency. New research shows larger vocabularies (100k-256k tokens) outperform traditional 32k models, especially in code and non-English tasks.

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