File size: 4,614 Bytes
e9d32fb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 |
[
{
"metadataOutputVersion" : "3.0",
"storagePrecision" : "Mixed (Float16, Palettized (4 bits), Palettized (6 bits))",
"outputSchema" : [
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 1 × 1 × 51866)",
"shortDescription" : "",
"shape" : "[1, 1, 51866]",
"name" : "logits",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 1 × 40960 × 1 × 1)",
"shortDescription" : "",
"shape" : "[1, 40960, 1, 1]",
"name" : "key_cache_updates",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 1 × 40960 × 1 × 1)",
"shortDescription" : "",
"shape" : "[1, 40960, 1, 1]",
"name" : "value_cache_updates",
"type" : "MultiArray"
}
],
"modelParameters" : [
],
"specificationVersion" : 8,
"mlProgramOperationTypeHistogram" : {
"Ios17.reshape" : 256,
"Ios16.reduceMean" : 194,
"Ios16.softmax" : 64,
"Ios17.matmul" : 128,
"Ios17.transpose" : 1,
"Split" : 2,
"Ios17.expandDims" : 6,
"Ios17.add" : 290,
"Ios17.squeeze" : 1,
"Ios17.gather" : 2,
"Ios17.batchNorm" : 97,
"Ios16.gelu" : 32,
"Ios17.cast" : 1,
"Ios16.constexprLutToDense" : 305,
"Ios17.conv" : 320,
"Ios17.sub" : 98,
"Ios17.concat" : 2,
"Ios17.linear" : 1,
"Ios17.rsqrt" : 97,
"Ios17.mul" : 386
},
"computePrecision" : "Mixed (Float16, Float32, Int16, Int32)",
"isUpdatable" : "0",
"availability" : {
"macOS" : "14.0",
"tvOS" : "17.0",
"visionOS" : "1.0",
"watchOS" : "10.0",
"iOS" : "17.0",
"macCatalyst" : "17.0"
},
"modelType" : {
"name" : "MLModelType_mlProgram"
},
"userDefinedMetadata" : {
"com.github.apple.coremltools.source_dialect" : "TorchScript",
"com.github.apple.coremltools.version" : "7.1",
"com.github.apple.coremltools.source" : "torch==2.1.2"
},
"inputSchema" : [
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Int32",
"formattedType" : "MultiArray (Int32 1)",
"shortDescription" : "",
"shape" : "[1]",
"name" : "input_ids",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Int32",
"formattedType" : "MultiArray (Int32 1)",
"shortDescription" : "",
"shape" : "[1]",
"name" : "cache_length",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 1 × 40960 × 1 × 448)",
"shortDescription" : "",
"shape" : "[1, 40960, 1, 448]",
"name" : "key_cache",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 1 × 40960 × 1 × 448)",
"shortDescription" : "",
"shape" : "[1, 40960, 1, 448]",
"name" : "value_cache",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 1 × 448)",
"shortDescription" : "",
"shape" : "[1, 448]",
"name" : "kv_cache_update_mask",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 1 × 1280 × 1 × 1500)",
"shortDescription" : "",
"shape" : "[1, 1280, 1, 1500]",
"name" : "encoder_output_embeds",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 1 × 448)",
"shortDescription" : "",
"shape" : "[1, 448]",
"name" : "decoder_key_padding_mask",
"type" : "MultiArray"
}
],
"generatedClassName" : "TextDecoder_mixedBitPalettized_6_4_bit",
"method" : "predict"
}
] |