{
  "vocab_size": 1000,
  "d_model": 8,
  "nhead": 1,
  "num_layers": 1,
  "num_classes": 2,
  "max_len": 128,
  "reasoning_steps": 2,
  "reasoning_threshold": 0.05,
  "token_dropout_prob": 0.1,
  "dropout": 0.1,
  "knowledge_elimination": true,
  "censorship": true,
  "autonomous_mode": true,
  "architecture": "StudentClassifier",
  "model_type": "llama",
  "architectures": [
    "LlamaForCausalLM"
  ],
  "dtype": "float32",
  "architectural_details": "Modelo experimental de destilaci\u00f3n en safetensors usando TransformerEncoder y m\u00f3dulos RNN."
}