Hugging Face's logo

smpanaro
/
Llama-3.2-1B-Instruct-CoreML

Core ML
Model card Files Community
1
Llama-3.2-1B-Instruct-CoreML
File size: 2,891 Bytes 
e97e085
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
[
  {
    "metadataOutputVersion" : "3.0",
    "storagePrecision" : "Float16",
    "outputSchema" : [
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float16",
        "formattedType" : "MultiArray (Float16 1 × 2048 × 8 × 8)",
        "shortDescription" : "",
        "shape" : "[1, 2048, 8, 8]",
        "name" : "x",
        "type" : "MultiArray"
      },
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float16",
        "formattedType" : "MultiArray (Float16 64 × 64)",
        "shortDescription" : "",
        "shape" : "[64, 64]",
        "name" : "cos",
        "type" : "MultiArray"
      },
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float16",
        "formattedType" : "MultiArray (Float16 64 × 64)",
        "shortDescription" : "",
        "shape" : "[64, 64]",
        "name" : "sin",
        "type" : "MultiArray"
      },
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float16",
        "formattedType" : "MultiArray (Float16 1 × 512 × 1 × 64)",
        "shortDescription" : "",
        "shape" : "[1, 512, 1, 64]",
        "name" : "mask",
        "type" : "MultiArray"
      }
    ],
    "modelParameters" : [

    ],
    "specificationVersion" : 7,
    "mlProgramOperationTypeHistogram" : {
      "Select" : 2,
      "Tile" : 2,
      "Ios16.sub" : 3,
      "Transpose" : 2,
      "Ios16.gather" : 3,
      "ExpandDims" : 3,
      "Ios16.reshape" : 1,
      "Ios16.maximum" : 1,
      "Ios16.less" : 2
    },
    "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" : "Int32",
        "formattedType" : "MultiArray (Int32 1 × 64)",
        "shortDescription" : "",
        "shape" : "[1, 64]",
        "name" : "input_ids",
        "type" : "MultiArray"
      },
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Int32",
        "formattedType" : "MultiArray (Int32 1)",
        "shortDescription" : "",
        "shape" : "[1]",
        "name" : "full_sequence_length",
        "type" : "MultiArray"
      }
    ],
    "generatedClassName" : "Llama_3_2_1B_Instruct_2024_10_10_23_56_41_chunk1",
    "method" : "predict"
  }
]