Download logit-processor.mlmodelc/metadata.json from smpanaro/Llama-3.2-3B-Instruct-CoreML: direct link, hf CLI and curl.
- Browser
- Download file 3.72 kB
-
https://huggingface.co/smpanaro/Llama-3.2-3B-Instruct-CoreML/resolve/main/logit-processor.mlmodelc/metadata.json
- Command line
-
hf download hf://smpanaro/Llama-3.2-3B-Instruct-CoreML/logit-processor.mlmodelc/metadata.json
-
curl -L -o metadata.json https://huggingface.co/smpanaro/Llama-3.2-3B-Instruct-CoreML/resolve/main/logit-processor.mlmodelc/metadata.json
3.72 kB
| [ | |
| { | |
| "metadataOutputVersion" : "3.0", | |
| "outputSchema" : [ | |
| { | |
| "hasShapeFlexibility" : "0", | |
| "isOptional" : "0", | |
| "dataType" : "Int32", | |
| "formattedType" : "MultiArray (Int32 1 × 64)", | |
| "shortDescription" : "", | |
| "shape" : "[1, 64]", | |
| "name" : "argmax", | |
| "type" : "MultiArray" | |
| } | |
| ], | |
| "modelParameters" : [ | |
| ], | |
| "specificationVersion" : 7, | |
| "mlProgramOperationTypeHistogram" : { | |
| "Ios16.add" : 7, | |
| "Ios16.topk" : 9, | |
| "Ios16.gatherAlongAxis" : 1, | |
| "Concat" : 2, | |
| "Squeeze" : 1 | |
| }, | |
| "computePrecision" : "Mixed (Float16, Int32)", | |
| "isUpdatable" : "0", | |
| "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.source_dialect" : "TorchScript", | |
| "com.github.apple.coremltools.source" : "torch==2.1.0", | |
| "com.github.apple.coremltools.version" : "8.0b1" | |
| }, | |
| "inputSchema" : [ | |
| { | |
| "hasShapeFlexibility" : "0", | |
| "isOptional" : "0", | |
| "dataType" : "Float16", | |
| "formattedType" : "MultiArray (Float16 1 × 64 × 16384)", | |
| "shortDescription" : "", | |
| "shape" : "[1, 64, 16384]", | |
| "name" : "logits_0", | |
| "type" : "MultiArray" | |
| }, | |
| { | |
| "hasShapeFlexibility" : "0", | |
| "isOptional" : "0", | |
| "dataType" : "Float16", | |
| "formattedType" : "MultiArray (Float16 1 × 64 × 16384)", | |
| "shortDescription" : "", | |
| "shape" : "[1, 64, 16384]", | |
| "name" : "logits_1", | |
| "type" : "MultiArray" | |
| }, | |
| { | |
| "hasShapeFlexibility" : "0", | |
| "isOptional" : "0", | |
| "dataType" : "Float16", | |
| "formattedType" : "MultiArray (Float16 1 × 64 × 16384)", | |
| "shortDescription" : "", | |
| "shape" : "[1, 64, 16384]", | |
| "name" : "logits_2", | |
| "type" : "MultiArray" | |
| }, | |
| { | |
| "hasShapeFlexibility" : "0", | |
| "isOptional" : "0", | |
| "dataType" : "Float16", | |
| "formattedType" : "MultiArray (Float16 1 × 64 × 16384)", | |
| "shortDescription" : "", | |
| "shape" : "[1, 64, 16384]", | |
| "name" : "logits_3", | |
| "type" : "MultiArray" | |
| }, | |
| { | |
| "hasShapeFlexibility" : "0", | |
| "isOptional" : "0", | |
| "dataType" : "Float16", | |
| "formattedType" : "MultiArray (Float16 1 × 64 × 16384)", | |
| "shortDescription" : "", | |
| "shape" : "[1, 64, 16384]", | |
| "name" : "logits_4", | |
| "type" : "MultiArray" | |
| }, | |
| { | |
| "hasShapeFlexibility" : "0", | |
| "isOptional" : "0", | |
| "dataType" : "Float16", | |
| "formattedType" : "MultiArray (Float16 1 × 64 × 16384)", | |
| "shortDescription" : "", | |
| "shape" : "[1, 64, 16384]", | |
| "name" : "logits_5", | |
| "type" : "MultiArray" | |
| }, | |
| { | |
| "hasShapeFlexibility" : "0", | |
| "isOptional" : "0", | |
| "dataType" : "Float16", | |
| "formattedType" : "MultiArray (Float16 1 × 64 × 16384)", | |
| "shortDescription" : "", | |
| "shape" : "[1, 64, 16384]", | |
| "name" : "logits_6", | |
| "type" : "MultiArray" | |
| }, | |
| { | |
| "hasShapeFlexibility" : "0", | |
| "isOptional" : "0", | |
| "dataType" : "Float16", | |
| "formattedType" : "MultiArray (Float16 1 × 64 × 13568)", | |
| "shortDescription" : "", | |
| "shape" : "[1, 64, 13568]", | |
| "name" : "logits_7", | |
| "type" : "MultiArray" | |
| } | |
| ], | |
| "generatedClassName" : "split_logit_processor", | |
| "method" : "predict" | |
| } | |
| ] |