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upload encoder.mlmodelc/metadata.json

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  1. encoder.mlmodelc/metadata.json +94 -0
encoder.mlmodelc/metadata.json ADDED
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+ [
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+ {
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+ "metadataOutputVersion" : "3.0",
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+ "storagePrecision" : "Float16",
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+ "outputSchema" : [
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+ {
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+ "hasShapeFlexibility" : "0",
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+ "isOptional" : "0",
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+ "dataType" : "Float16",
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+ "formattedType" : "MultiArray (Float16 1 × 768)",
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+ "shortDescription" : "",
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+ "shape" : "[1, 768]",
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+ "name" : "embedding",
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+ "type" : "MultiArray"
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+ }
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+ ],
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+ "modelParameters" : [
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+
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+ ],
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+ "specificationVersion" : 10,
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+ "mlProgramOperationTypeHistogram" : {
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+ "Ios18.softmax" : 24,
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+ "Ios19.mul" : 487,
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+ "Ios18.matmul" : 48,
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+ "Ios19.maximum" : 2,
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+ "Ios18.rsqrt" : 1,
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+ "Ios19.squeeze" : 24,
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+ "Ios16.reduceMax" : 1,
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+ "Tile" : 49,
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+ "Ios18.gather" : 1,
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+ "Ios16.reduceSum" : 3,
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+ "Ios19.add" : 122,
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+ "Ios18.layerNorm" : 145,
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+ "Ios19.concat" : 193,
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+ "Ios19.transpose" : 216,
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+ "Ios19.realDiv" : 2,
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+ "Ios19.expandDims" : 99,
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+ "Ios18.conv" : 170,
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+ "Ios18.gelu" : 24,
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+ "Ios19.split" : 193,
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+ "Ios19.sub" : 1,
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+ "Ios19.greaterEqual" : 1,
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+ "Ios19.select" : 1,
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+ "Ios18.abs" : 1,
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+ "Ios19.reshape" : 146
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+ },
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+ "computePrecision" : "Mixed (Float16, Float32, Int32)",
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+ "isUpdatable" : "0",
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+ "stateSchema" : [
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+
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+ ],
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+ "availability" : {
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+ "macOS" : "16.0",
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+ "tvOS" : "19.0",
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+ "visionOS" : "3.0",
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+ "watchOS" : "12.0",
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+ "iOS" : "19.0",
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+ "macCatalyst" : "19.0"
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+ },
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+ "modelType" : {
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+ "name" : "MLModelType_mlProgram"
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+ },
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+ "userDefinedMetadata" : {
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+ "com.github.apple.coremltools.conversion_date" : "2026-04-22",
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+ "com.github.apple.coremltools.source" : "torch==2.8.0",
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+ "com.github.apple.coremltools.version" : "9.0",
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+ "com.github.apple.coremltools.source_dialect" : "TorchScript"
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+ },
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+ "inputSchema" : [
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+ {
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+ "hasShapeFlexibility" : "0",
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+ "isOptional" : "0",
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+ "dataType" : "Int32",
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+ "formattedType" : "MultiArray (Int32 1 × 128)",
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+ "shortDescription" : "",
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+ "shape" : "[1, 128]",
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+ "name" : "input_ids",
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+ "type" : "MultiArray"
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+ },
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+ {
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+ "hasShapeFlexibility" : "0",
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+ "isOptional" : "0",
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+ "dataType" : "Float16",
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+ "formattedType" : "MultiArray (Float16 1 × 128)",
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+ "shortDescription" : "",
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+ "shape" : "[1, 128]",
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+ "name" : "attention_mask",
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+ "type" : "MultiArray"
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+ }
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+ ],
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+ "generatedClassName" : "encoder",
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+ "method" : "predict"
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+ }
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+ ]