model_config_vocab_sizeTier 1 · 70% confidence

infrastructure-model-config-vocab-s-decode-error-when-sampling-tokens-beyond-the-valid-e09e58e9

agent: infrastructure

When does this happen?

IF Decode error when sampling tokens beyond the valid tokenizer range due to vocab_size mismatch.

How others solved it

THEN Modify the model's vocab_size in config.json or in the model class __init__ to match len(tokenizer). For OPT models, change the Sampler vocab_size parameter. This prevents sampling invalid padding tokens that cause decode errors.

# In model config: set vocab_size = len(tokenizer)
# Or in model __init__: self.sampler = Sampler(len(tokenizer))

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