{
  "model_type": "temporal_neural_solver",
  "architecture": "TemporalSolverNet",
  "framework": "rust",
  "task": "time-series-prediction",
  "version": "1.0.0",

  "_name_or_path": "temporal-neural-solver",
  "auto_map": {
    "AutoConfig": "temporal_neural_solver.TemporalSolverConfig",
    "AutoModel": "temporal_neural_solver.TemporalSolverModel"
  },

  "model_config": {
    "system_type": "B",
    "architecture": "temporal_solver",
    "hidden_size": 32,
    "num_layers": 2,
    "input_dim": 4,
    "output_dim": 4,
    "sequence_length": 10,
    "dropout": 0.1,
    "activation": "relu",
    "use_kalman_prior": true,
    "use_solver_gate": true,
    "quantization": "int8"
  },

  "solver_config": {
    "algorithm": "neumann",
    "max_iterations": 1000,
    "tolerance": 1e-6,
    "verification_threshold": 0.02,
    "enable_certificates": true,
    "gate_threshold": 0.5
  },

  "kalman_config": {
    "state_dim": 4,
    "observation_dim": 4,
    "process_noise": 0.01,
    "observation_noise": 0.1,
    "initial_uncertainty": 1.0
  },

  "training_config": {
    "batch_size": 64,
    "learning_rate": 0.001,
    "optimizer": "adamw",
    "weight_decay": 0.01,
    "epochs": 100,
    "warmup_steps": 1000,
    "gradient_clip": 1.0,
    "early_stopping_patience": 10
  },

  "inference_config": {
    "batch_size": 1,
    "enable_optimization": true,
    "use_simd": true,
    "max_latency_ms": 1.0,
    "precision": "int8",
    "enable_profiling": false
  },

  "performance_targets": {
    "p99_9_latency_ms": 0.9,
    "throughput_pps": 1000,
    "memory_mb": 50,
    "accuracy": {
      "mae_threshold": 0.05,
      "rmse_threshold": 0.07,
      "r_squared_min": 0.9
    }
  },

  "export_config": {
    "onnx": {
      "opset_version": 17,
      "optimize": true,
      "include_solver": false,
      "dynamic_axes": {
        "input_sequence": {
          "0": "batch_size",
          "1": "sequence_length"
        },
        "output": {
          "0": "batch_size"
        }
      }
    },
    "pytorch": {
      "include_solver": true,
      "quantization": "dynamic"
    }
  },

  "benchmark_results": {
    "validation_date": "2024-09-20",
    "sample_size": 100000,
    "statistical_significance": true,
    "latency_ms": {
      "system_a": {
        "mean": 1.399,
        "p50": 1.385,
        "p90": 1.550,
        "p95": 1.575,
        "p99": 1.595,
        "p99_9": 1.600
      },
      "system_b": {
        "mean": 0.516,
        "p50": 0.501,
        "p90": 0.678,
        "p95": 0.743,
        "p99": 0.848,
        "p99_9": 0.850
      },
      "improvement": {
        "mean": 63.1,
        "p99_9": 46.9
      }
    },
    "accuracy": {
      "system_a": {
        "mae": 0.067,
        "rmse": 0.089,
        "r_squared": 0.91,
        "error_rate": 2.0
      },
      "system_b": {
        "mae": 0.045,
        "rmse": 0.062,
        "r_squared": 0.94,
        "error_rate": 0.5
      }
    },
    "throughput": {
      "single_thread_pps": 1176,
      "multi_thread_pps": 8940,
      "batch_pps": 15000
    },
    "memory": {
      "peak_mb": 12,
      "average_mb": 8,
      "model_size_mb": 0.32
    }
  },

  "compatibility": {
    "onnx_version": "1.14+",
    "python_version": "3.8+",
    "rust_version": "1.70+",
    "frameworks": ["onnxruntime", "pytorch", "tensorflow"],
    "hardware": {
      "cpu": "Any x86_64 or ARM64",
      "memory_min_mb": 100,
      "gpu": "Optional (CUDA, ROCm)"
    }
  },

  "files": {
    "model_weights": [
      "system_a.onnx",
      "system_b.onnx",
      "pytorch_model.bin"
    ],
    "config": [
      "config.json",
      "model_card.md"
    ],
    "documentation": [
      "README.md",
      "docs/api_reference.md",
      "docs/deployment_guide.md"
    ],
    "examples": [
      "examples/python_inference.py",
      "examples/rust_integration.rs",
      "notebooks/demo.ipynb"
    ]
  },

  "tags": [
    "neural-networks",
    "time-series",
    "optimization",
    "real-time-ai",
    "sublinear-algorithms",
    "temporal-computing",
    "mathematical-verification",
    "ultra-low-latency",
    "hft",
    "robotics",
    "edge-ai",
    "rust",
    "onnx"
  ],

  "metrics": {
    "accuracy": {
      "mae": 0.045,
      "rmse": 0.062,
      "r_squared": 0.94
    },
    "latency": {
      "p99_9_ms": 0.850,
      "mean_ms": 0.516,
      "improvement_percent": 46.9
    },
    "reliability": {
      "error_rate": 0.5,
      "gate_pass_rate": 66.0,
      "certificate_accuracy": 98.5
    }
  },

  "license": "mit",
  "library_name": "temporal-neural-net",
  "pipeline_tag": "other",
  "widget": {
    "structuredData": {
      "url": "https://huggingface.co/datasets/temporal-neural-solver/demo-data/resolve/main/sample_input.json"
    }
  }
}