FluidInference/parakeet-tdt-0.6b-v3-coreml

1[2  {3    "metadataOutputVersion" : "3.0",4    "shortDescription" : "Parakeet decoder (RNNT prediction network)",5    "outputSchema" : [6      {7        "hasShapeFlexibility" : "0",8        "isOptional" : "0",9        "dataType" : "Float32",10        "formattedType" : "MultiArray (Float32 1 × 640 × 1)",11        "shortDescription" : "",12        "shape" : "[1, 640, 1]",13        "name" : "decoder",14        "type" : "MultiArray"15      },16      {17        "hasShapeFlexibility" : "0",18        "isOptional" : "0",19        "dataType" : "Float32",20        "formattedType" : "MultiArray (Float32 2 × 1 × 640)",21        "shortDescription" : "",22        "shape" : "[2, 1, 640]",23        "name" : "h_out",24        "type" : "MultiArray"25      },26      {27        "hasShapeFlexibility" : "0",28        "isOptional" : "0",29        "dataType" : "Float32",30        "formattedType" : "MultiArray (Float32 2 × 1 × 640)",31        "shortDescription" : "",32        "shape" : "[2, 1, 640]",33        "name" : "c_out",34        "type" : "MultiArray"35      }36    ],37    "storagePrecision" : "Float16",38    "modelParameters" : [39 40    ],41    "author" : "Fluid Inference",42    "specificationVersion" : 8,43    "mlProgramOperationTypeHistogram" : {44      "Select" : 1,45      "Ios17.squeeze" : 4,46      "Ios17.gather" : 1,47      "Ios17.cast" : 8,48      "Ios17.lstm" : 2,49      "Split" : 2,50      "Ios17.add" : 1,51      "Ios17.transpose" : 2,52      "Ios17.greaterEqual" : 1,53      "Identity" : 1,54      "Stack" : 255    },56    "computePrecision" : "Mixed (Float16, Float32, Int16, Int32)",57    "isUpdatable" : "0",58    "stateSchema" : [59 60    ],61    "availability" : {62      "macOS" : "14.0",63      "tvOS" : "17.0",64      "visionOS" : "1.0",65      "watchOS" : "10.0",66      "iOS" : "17.0",67      "macCatalyst" : "17.0"68    },69    "modelType" : {70      "name" : "MLModelType_mlProgram"71    },72    "inputSchema" : [73      {74        "hasShapeFlexibility" : "0",75        "isOptional" : "0",76        "dataType" : "Int32",77        "formattedType" : "MultiArray (Int32 1 × 1)",78        "shortDescription" : "",79        "shape" : "[1, 1]",80        "name" : "targets",81        "type" : "MultiArray"82      },83      {84        "hasShapeFlexibility" : "0",85        "isOptional" : "0",86        "dataType" : "Int32",87        "formattedType" : "MultiArray (Int32 1)",88        "shortDescription" : "",89        "shape" : "[1]",90        "name" : "target_length",91        "type" : "MultiArray"92      },93      {94        "hasShapeFlexibility" : "0",95        "isOptional" : "0",96        "dataType" : "Float32",97        "formattedType" : "MultiArray (Float32 2 × 1 × 640)",98        "shortDescription" : "",99        "shape" : "[2, 1, 640]",100        "name" : "h_in",101        "type" : "MultiArray"102      },103      {104        "hasShapeFlexibility" : "0",105        "isOptional" : "0",106        "dataType" : "Float32",107        "formattedType" : "MultiArray (Float32 2 × 1 × 640)",108        "shortDescription" : "",109        "shape" : "[2, 1, 640]",110        "name" : "c_in",111        "type" : "MultiArray"112      }113    ],114    "userDefinedMetadata" : {115      "com.github.apple.coremltools.conversion_date" : "2025-09-19",116      "com.github.apple.coremltools.source" : "torch==2.7.0",117      "com.github.apple.coremltools.version" : "9.0b1",118      "com.github.apple.coremltools.source_dialect" : "TorchScript"119    },120    "generatedClassName" : "parakeet_decoder",121    "method" : "predict"122  }123]