{
  "architectures": [
    "MLPSpeculatorPreTrainedModel"
  ],
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  "inner_dim": 1024,
  "model_type": "mlp_speculator",
  "n_candidates": 5,
  "n_predict": 3,
  "top_k_tokens_per_head": [
    5,
    3,
    2
  ],
  "torch_dtype": "float16",
  "transformers_version": "4.41.2",
  "vocab_size": 32000
}