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[
  {
    "shortDescription" : "CLIP ViT-B\/32 model trained with DataComp-1B (Text Encoder Model)",
    "metadataOutputVersion" : "3.0",
    "outputSchema" : [
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float32",
        "formattedType" : "MultiArray (Float32 1 × 512)",
        "shortDescription" : "--",
        "shape" : "[1, 512]",
        "name" : "var_1317",
        "type" : "MultiArray"
      }
    ],
    "version" : "1.0.0",
    "modelParameters" : [

    ],
    "author" : "InspiratioNULL 2026",
    "specificationVersion" : 6,
    "storagePrecision" : "Float16",
    "license" : "MIT",
    "mlProgramOperationTypeHistogram" : {
      "Linear" : 49,
      "SliceByIndex" : 36,
      "LayerNorm" : 25,
      "Transpose" : 84,
      "Matmul" : 24,
      "Gelu" : 12,
      "Stack" : 1,
      "Softmax" : 12,
      "Squeeze" : 12,
      "Reshape" : 108,
      "Mul" : 12,
      "Add" : 37,
      "ExpandDims" : 12,
      "ReduceArgmax" : 1,
      "Gather" : 1,
      "GatherNd" : 1,
      "Cast" : 1
    },
    "computePrecision" : "Mixed (Float16, Float32, Int32)",
    "stateSchema" : [

    ],
    "isUpdatable" : "0",
    "availability" : {
      "macOS" : "12.0",
      "tvOS" : "15.0",
      "visionOS" : "1.0",
      "watchOS" : "8.0",
      "iOS" : "15.0",
      "macCatalyst" : "15.0"
    },
    "modelType" : {
      "name" : "MLModelType_mlProgram"
    },
    "inputSchema" : [
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Int32",
        "formattedType" : "MultiArray (Int32 1 × 77)",
        "shortDescription" : "--",
        "shape" : "[1, 77]",
        "name" : "text",
        "type" : "MultiArray"
      }
    ],
    "userDefinedMetadata" : {
      "com.github.apple.coremltools.conversion_date" : "2026-01-15",
      "com.github.apple.coremltools.source" : "torch==2.9.1",
      "com.github.apple.coremltools.version" : "9.0",
      "com.github.apple.coremltools.source_dialect" : "TorchScript"
    },
    "generatedClassName" : "CLIP_TextEncoder",
    "method" : "predict"
  }
]