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{
"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."
} |