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{
  "architectures": [
    "TimeGPTForCausalLM"
  ],
  "model_type": "timegpt",
  "vocab_size": 32000,
  "hidden_size": 1280,
  "num_hidden_layers": 24,
  "num_attention_heads": 20,
  "num_key_value_heads": 4,
  "intermediate_size": 3584,
  "max_position_embeddings": 1024,
  "rms_norm_eps": 1e-05,
  "rope_theta": 500000.0,
  "torch_dtype": "bfloat16",
  "tie_word_embeddings": true
}