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This is a smaller version of the google/mt5-base model with only hindi embeddings left.

  • The original model has 582M parameters, with 237M of them being input and output embeddings.
  • After shrinking the sentencepiece vocabulary from 250K to 25K (top 25K Hindi tokens) the number of model parameters reduced to 237M parameters, and model size reduced from 2.2GB to 0.9GB - 42% of the original one.

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