go to ORKG: http://orkg.org/orkg/predicate/P52040
Vocabulary Size
The vocabulary size in SLMs refers to the total number of unique tokens (words, subwords, or characters) that the model can recognize and generate. It defines the range of distinct elements that the model can process and produce as output. A well-chosen vocabulary size balances the trade-off between capturing enough linguistic information and maintaining computational efficiency. In summary, vocabulary size is a critical parameter in SLMs that influences memory usage, computational requirements, and overall model performance. In SLMs, the vocabulary size ranges from 32k to 256k.