[
  {
    "metadataOutputVersion" : "3.0",
    "storagePrecision" : "Float16",
    "outputSchema" : [
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float16",
        "formattedType" : "MultiArray (Float16 1 × 1 × 51866)",
        "shortDescription" : "",
        "shape" : "[1, 1, 51866]",
        "name" : "logits",
        "type" : "MultiArray"
      },
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float16",
        "formattedType" : "MultiArray (Float16 1 × 5120 × 1 × 1)",
        "shortDescription" : "",
        "shape" : "[1, 5120, 1, 1]",
        "name" : "key_cache_updates",
        "type" : "MultiArray"
      },
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float16",
        "formattedType" : "MultiArray (Float16 1 × 5120 × 1 × 1)",
        "shortDescription" : "",
        "shape" : "[1, 5120, 1, 1]",
        "name" : "value_cache_updates",
        "type" : "MultiArray"
      },
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float16",
        "formattedType" : "MultiArray (Float16 1 × 1536)",
        "shortDescription" : "",
        "shape" : "[1, 1536]",
        "name" : "alignment_heads_weights",
        "type" : "MultiArray"
      }
    ],
    "modelParameters" : [

    ],
    "specificationVersion" : 9,
    "mlProgramOperationTypeHistogram" : {
      "Ios18.expandDims" : 8,
      "Ios18.softmax" : 8,
      "Ios18.mul" : 16,
      "Ios18.matmul" : 16,
      "Ios18.batchNorm" : 13,
      "Ios16.reduceMean" : 1,
      "Split" : 2,
      "Ios18.readState" : 5,
      "Ios18.gather" : 2,
      "Ios18.add" : 29,
      "Ios18.layerNorm" : 13,
      "Ios18.reshape" : 32,
      "Ios18.linear" : 1,
      "Ios18.conv" : 32,
      "Ios18.gelu" : 4,
      "Ios18.concat" : 3,
      "Ios18.cast" : 1,
      "Ios18.transpose" : 1,
      "Ios18.sliceByIndex" : 20,
      "Ios18.squeeze" : 1
    },
    "computePrecision" : "Mixed (Float16, Int32, UInt16)",
    "isUpdatable" : "0",
    "stateSchema" : [
      {
        "dataType" : "Float16",
        "isOptional" : "0",
        "formattedType" : "State (Float16 1 × 1536)",
        "shortDescription" : "",
        "shape" : "[1, 1536]",
        "name" : "encoder_attn_key_padding_mask",
        "type" : "State"
      },
      {
        "dataType" : "Float16",
        "isOptional" : "0",
        "formattedType" : "State (Float16 4 × 1280 × 1 × 1536)",
        "shortDescription" : "",
        "shape" : "[4, 1280, 1, 1536]",
        "name" : "encoder_attn_key_cache",
        "type" : "State"
      },
      {
        "dataType" : "Float16",
        "isOptional" : "0",
        "formattedType" : "State (Float16 4 × 1280 × 1 × 1536)",
        "shortDescription" : "",
        "shape" : "[4, 1280, 1, 1536]",
        "name" : "encoder_attn_value_cache",
        "type" : "State"
      },
      {
        "dataType" : "Float16",
        "isOptional" : "0",
        "formattedType" : "State (Float16 4 × 1280 × 1 × 448)",
        "shortDescription" : "",
        "shape" : "[4, 1280, 1, 448]",
        "name" : "self_attn_key_cache",
        "type" : "State"
      },
      {
        "dataType" : "Float16",
        "isOptional" : "0",
        "formattedType" : "State (Float16 4 × 1280 × 1 × 448)",
        "shortDescription" : "",
        "shape" : "[4, 1280, 1, 448]",
        "name" : "self_attn_value_cache",
        "type" : "State"
      }
    ],
    "availability" : {
      "macOS" : "15.0",
      "tvOS" : "18.0",
      "visionOS" : "2.0",
      "watchOS" : "11.0",
      "iOS" : "18.0",
      "macCatalyst" : "18.0"
    },
    "modelType" : {
      "name" : "MLModelType_mlProgram"
    },
    "userDefinedMetadata" : {
      "com.github.apple.coremltools.source_dialect" : "TorchScript",
      "com.github.apple.coremltools.source" : "torch==2.5.1",
      "com.github.apple.coremltools.version" : "8.0"
    },
    "inputSchema" : [
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Int32",
        "formattedType" : "MultiArray (Int32 1)",
        "shortDescription" : "",
        "shape" : "[1]",
        "name" : "input_ids",
        "type" : "MultiArray"
      },
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Int32",
        "formattedType" : "MultiArray (Int32 1)",
        "shortDescription" : "",
        "shape" : "[1]",
        "name" : "cache_length",
        "type" : "MultiArray"
      },
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float16",
        "formattedType" : "MultiArray (Float16 1 × 448)",
        "shortDescription" : "",
        "shape" : "[1, 448]",
        "name" : "kv_cache_update_mask",
        "type" : "MultiArray"
      },
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float16",
        "formattedType" : "MultiArray (Float16 1 × 448)",
        "shortDescription" : "",
        "shape" : "[1, 448]",
        "name" : "decoder_key_padding_mask",
        "type" : "MultiArray"
      }
    ],
    "generatedClassName" : "TextDecoderStateful",
    "method" : "predict"
  }
]