model_card.json

{
  "model-index": [
    {
      "name": "Xe Post-Quantum AI",
      "version": "0.1.0",
      "date": "2026-07-21",
      "license": "mit",
      "language": "en",
      "tags": [
        "conversational-ai",
        "chatbot",
        "quantum-inspired",
        "knowledge-base",
        "philosophy",
        "education",
        "governance",
        "literature",
        "mathematics",
        "computer-science",
        "physics"
      ],
      "tasks": [
        {
          "type": "text-generation",
          "name": "Text Generation",
          "evaluation_results": [
            {
              "metric": "accuracy",
              "value": 0.99
            }
          ]
        },
        {
          "type": "conversational-ai",
          "name": "Conversational AI"
        },
        {
          "type": "question-answering",
          "name": "Question Answering"
        }
      ]
    }
  ],
  "model-type": "quantum-inspired-neural-network",
  "model-architecture": {
    "type": "feedforward-neural-network",
    "layer_dims": [64, 32, 11],
    "activation": "relu",
    "output_activation": "linear",
    "learning_rate": 0.03
  },
  "weights": [
    {
      "dataset": "conversational",
      "data_files": ["xe_brain.json"],
      "data_columns": {
        "input_text": "user",
        "output_text": "bot"
      }
    },
    {
      "dataset": "neural_network",
      "data_files": ["xe_model.json"],
      "data_columns": {
        "weights": "layers",
        "architecture": "layer_dims"
      }
    }
  ],
  "datasets": [
    {
      "name": "Xe Conversational Dataset",
      "features": ["user", "bot", "intent", "timestamp"],
      "size": 92
    }
  ],
  "training": {
    "last_trained": "2026-07-12",
    "training_samples": 197,
    "loss": 0.042
  }
}