{
  "model_type": "rnn",
  "task": "word-level language modeling",
  "vocab_size": 681,
  "embedding_size": 256,
  "hidden_size": 256,
  "num_layers": 2,
  "architecture": "Embedding + 2-layer RNN",
  "framework": "pytorch",
  "file_format": "safetensors"
}