Download model.mlmodelc/metadata.json from mlboydaisuke/functiongemma-270m-coreml: direct link, hf CLI and curl.
- Browser
- Download file 3.71 kB
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https://huggingface.co/mlboydaisuke/functiongemma-270m-coreml/resolve/main/model.mlmodelc/metadata.json
- Command line
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hf download hf://mlboydaisuke/functiongemma-270m-coreml/model.mlmodelc/metadata.json
-
curl -L -o metadata.json https://huggingface.co/mlboydaisuke/functiongemma-270m-coreml/resolve/main/model.mlmodelc/metadata.json
3.71 kB
| [ | |
| { | |
| "metadataOutputVersion" : "3.0", | |
| "storagePrecision" : "Float16", | |
| "outputSchema" : [ | |
| { | |
| "hasShapeFlexibility" : "0", | |
| "isOptional" : "0", | |
| "dataType" : "Int32", | |
| "formattedType" : "MultiArray (Int32 1)", | |
| "shortDescription" : "", | |
| "shape" : "[1]", | |
| "name" : "token_id", | |
| "type" : "MultiArray" | |
| }, | |
| { | |
| "hasShapeFlexibility" : "0", | |
| "isOptional" : "0", | |
| "dataType" : "Float16", | |
| "formattedType" : "MultiArray (Float16 1)", | |
| "shortDescription" : "", | |
| "shape" : "[1]", | |
| "name" : "token_logit", | |
| "type" : "MultiArray" | |
| } | |
| ], | |
| "modelParameters" : [ | |
| ], | |
| "specificationVersion" : 10, | |
| "mlProgramOperationTypeHistogram" : { | |
| "Ios18.softmax" : 18, | |
| "Ios19.mul" : 435, | |
| "Ios18.matmul" : 36, | |
| "Ios19.sliceUpdate" : 36, | |
| "Ios18.gatherAlongAxis" : 1, | |
| "Ios19.squeeze" : 56, | |
| "Ios18.readState" : 36, | |
| "Tile" : 72, | |
| "Ios18.gather" : 5, | |
| "Ios19.add" : 127, | |
| "Ios18.layerNorm" : 109, | |
| "Ios18.writeState" : 36, | |
| "Ios19.concat" : 145, | |
| "Ios19.transpose" : 164, | |
| "Ios18.reduceArgmax" : 1, | |
| "Ios19.expandDims" : 117, | |
| "Ios18.conv" : 127, | |
| "Ios18.cast" : 1, | |
| "Ios18.gelu" : 18, | |
| "Ios19.split" : 145, | |
| "Ios19.sliceByIndex" : 36, | |
| "Ios19.sub" : 1, | |
| "Ios19.select" : 1, | |
| "Ios19.greaterEqual" : 1, | |
| "Ios19.reshape" : 180 | |
| }, | |
| "computePrecision" : "Mixed (Float16, Int32, UInt16)", | |
| "isUpdatable" : "0", | |
| "stateSchema" : [ | |
| { | |
| "dataType" : "Float16", | |
| "isOptional" : "0", | |
| "formattedType" : "State (Float16 36 × 1 × 2048 × 256)", | |
| "shortDescription" : "", | |
| "shape" : "[36, 1, 2048, 256]", | |
| "name" : "kv_cache_0", | |
| "type" : "State" | |
| } | |
| ], | |
| "availability" : { | |
| "macOS" : "16.0", | |
| "tvOS" : "19.0", | |
| "visionOS" : "3.0", | |
| "watchOS" : "12.0", | |
| "iOS" : "19.0", | |
| "macCatalyst" : "19.0" | |
| }, | |
| "modelType" : { | |
| "name" : "MLModelType_mlProgram" | |
| }, | |
| "userDefinedMetadata" : { | |
| "com.github.apple.coremltools.conversion_date" : "2026-04-22", | |
| "com.github.apple.coremltools.source" : "torch==2.8.0", | |
| "com.github.apple.coremltools.version" : "9.0", | |
| "com.github.apple.coremltools.source_dialect" : "TorchScript" | |
| }, | |
| "inputSchema" : [ | |
| { | |
| "hasShapeFlexibility" : "0", | |
| "isOptional" : "0", | |
| "dataType" : "Int32", | |
| "formattedType" : "MultiArray (Int32 1 × 1)", | |
| "shortDescription" : "", | |
| "shape" : "[1, 1]", | |
| "name" : "input_ids", | |
| "type" : "MultiArray" | |
| }, | |
| { | |
| "hasShapeFlexibility" : "0", | |
| "isOptional" : "0", | |
| "dataType" : "Int32", | |
| "formattedType" : "MultiArray (Int32 1)", | |
| "shortDescription" : "", | |
| "shape" : "[1]", | |
| "name" : "position_ids", | |
| "type" : "MultiArray" | |
| }, | |
| { | |
| "hasShapeFlexibility" : "0", | |
| "isOptional" : "0", | |
| "dataType" : "Float16", | |
| "formattedType" : "MultiArray (Float16 1 × 1 × 1 × 2048)", | |
| "shortDescription" : "", | |
| "shape" : "[1, 1, 1, 2048]", | |
| "name" : "causal_mask", | |
| "type" : "MultiArray" | |
| }, | |
| { | |
| "hasShapeFlexibility" : "0", | |
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| "dataType" : "Float16", | |
| "formattedType" : "MultiArray (Float16 1 × 1 × 2048 × 1)", | |
| "shortDescription" : "", | |
| "shape" : "[1, 1, 2048, 1]", | |
| "name" : "update_mask", | |
| "type" : "MultiArray" | |
| } | |
| ], | |
| "generatedClassName" : "model", | |
| "method" : "predict" | |
| } | |
| ] |