MLX
Safetensors
openelm
custom_code
File size: 2,097 Bytes
f4647ec
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
    "activation_fn_name": "swish",
    "architectures": [
        "OpenELMForCausalLM"
    ],
    "auto_map": {
        "AutoConfig": "configuration_openelm.OpenELMConfig",
        "AutoModelForCausalLM": "modeling_openelm.OpenELMForCausalLM"
    },
    "bos_token_id": 1,
    "eos_token_id": 2,
    "ffn_dim_divisor": 256,
    "ffn_multipliers": [
        0.5,
        0.63,
        0.76,
        0.89,
        1.02,
        1.15,
        1.28,
        1.41,
        1.54,
        1.67,
        1.8,
        1.93,
        2.06,
        2.19,
        2.31,
        2.44,
        2.57,
        2.7,
        2.83,
        2.96,
        3.09,
        3.22,
        3.35,
        3.48,
        3.61,
        3.74,
        3.87,
        4.0
    ],
    "ffn_with_glu": true,
    "head_dim": 64,
    "initializer_range": 0.02,
    "max_context_length": 2048,
    "model_dim": 2048,
    "model_type": "openelm",
    "normalization_layer_name": "rms_norm",
    "normalize_qk_projections": true,
    "num_gqa_groups": 4,
    "num_kv_heads": [
        4,
        4,
        4,
        5,
        5,
        5,
        5,
        5,
        5,
        5,
        6,
        6,
        6,
        6,
        6,
        6,
        6,
        6,
        7,
        7,
        7,
        7,
        7,
        7,
        8,
        8,
        8,
        8
    ],
    "num_query_heads": [
        16,
        16,
        16,
        20,
        20,
        20,
        20,
        20,
        20,
        20,
        24,
        24,
        24,
        24,
        24,
        24,
        24,
        24,
        28,
        28,
        28,
        28,
        28,
        28,
        32,
        32,
        32,
        32
    ],
    "num_transformer_layers": 28,
    "qkv_multipliers": [
        0.5,
        1.0
    ],
    "quantization": {
        "group_size": 64,
        "bits": 4
    },
    "rope_freq_constant": 10000,
    "rope_max_length": 4096,
    "share_input_output_layers": true,
    "torch_dtype": "float32",
    "transformers_version": "4.39.3",
    "use_cache": true,
    "vocab_size": 32000
}