gist / gist.mlmodelc /metadata.json
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[
{
"metadataOutputVersion" : "3.0",
"storagePrecision" : "Float16",
"outputSchema" : [
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 1 × 36)",
"shortDescription" : "",
"shape" : "[1, 36]",
"name" : "topic_probs",
"type" : "MultiArray"
}
],
"modelParameters" : [
],
"specificationVersion" : 7,
"mlProgramOperationTypeHistogram" : {
"Ios16.linear" : 2,
"Ios16.relu" : 1,
"Ios16.sigmoid" : 1
},
"computePrecision" : "Float16",
"isUpdatable" : "0",
"stateSchema" : [
],
"availability" : {
"macOS" : "13.0",
"tvOS" : "16.0",
"visionOS" : "1.0",
"watchOS" : "9.0",
"iOS" : "16.0",
"macCatalyst" : "16.0"
},
"modelType" : {
"name" : "MLModelType_mlProgram"
},
"userDefinedMetadata" : {
"com.github.apple.coremltools.conversion_date" : "2026-07-28",
"com.github.apple.coremltools.source" : "torch==2.13.0",
"com.github.apple.coremltools.version" : "9.0",
"com.github.apple.coremltools.source_dialect" : "TorchScript"
},
"inputSchema" : [
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 1 × 8448)",
"shortDescription" : "",
"shape" : "[1, 8448]",
"name" : "features",
"type" : "MultiArray"
}
],
"generatedClassName" : "gist",
"method" : "predict"
}
]