Yeah, the standard SPLADE model trained from BERT typically already has a vocabulary/vector size of 30,552. If the SPLADE model is based on a multilingual version of BERT, such as mBERT or XLM-R, the vocabulary size could inherently expand to approximately 100,000, as does the vector size.