Hugging Face's logo

mlboydaisuke
/
embeddinggemma-300m-coreml

Core ML
multilingual
apple-neural-engine
gemma3
sentence-embedding
on-device
matryoshka
Model card Files
xet
 Community
embeddinggemma-300m-coreml
File size: 2,351 Bytes
e13f6e8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ccf7f0d
e13f6e8
 
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
{
  "model_name": "embeddinggemma-300m",
  "architecture": "gemma3-embedding",
  "tokenizer_repo": "google/embeddinggemma-300m",
  "parts": {
    "encoder": "encoder.mlpackage"
  },
  "io_contract": {
    "inputs": {
      "input_ids": {
        "shape": [
          1,
          128
        ],
        "dtype": "int32"
      },
      "attention_mask": {
        "shape": [
          1,
          128
        ],
        "dtype": "fp16",
        "doc": "1.0 for valid tokens, 0.0 for pad"
      }
    },
    "outputs": {
      "embedding": {
        "shape": [
          1,
          768
        ],
        "dtype": "fp16",
        "doc": "L2-normalized; Matryoshka-truncate the last dim"
      }
    }
  },
  "hidden_size": 768,
  "num_hidden_layers": 24,
  "num_attention_heads": 3,
  "num_key_value_heads": 1,
  "head_dim": 256,
  "intermediate_size": 1152,
  "vocab_size": 262144,
  "max_seq_len": 128,
  "sliding_window": 512,
  "sliding_window_pattern": 6,
  "layer_types": [
    "sliding_attention",
    "sliding_attention",
    "sliding_attention",
    "sliding_attention",
    "sliding_attention",
    "full_attention",
    "sliding_attention",
    "sliding_attention",
    "sliding_attention",
    "sliding_attention",
    "sliding_attention",
    "full_attention",
    "sliding_attention",
    "sliding_attention",
    "sliding_attention",
    "sliding_attention",
    "sliding_attention",
    "full_attention",
    "sliding_attention",
    "sliding_attention",
    "sliding_attention",
    "sliding_attention",
    "sliding_attention",
    "full_attention"
  ],
  "rms_norm_eps": 1e-06,
  "rope_theta_global": 1000000.0,
  "rope_theta_local": 10000.0,
  "embed_dim": 768,
  "dense_intermediate_dim": 3072,
  "pooling": "mean",
  "normalize": "l2",
  "matryoshka_dims": [
    768,
    512,
    256,
    128
  ],
  "task_prefixes": {
    "retrieval_query": "task: search result | query: ",
    "retrieval_document": "title: none | text: ",
    "classification": "task: classification | query: ",
    "clustering": "task: clustering | query: ",
    "similarity": "task: sentence similarity | query: ",
    "code_retrieval": "task: code retrieval | query: ",
    "question_answering": "task: question answering | query: ",
    "fact_verification": "task: fact checking | query: "
  },
  "quantization": "int8",
  "compute_units": "CPU_AND_NE"
}