Hugging Face's logo

tugbatumer
/
OpenELM-450M-Instruct-databaes-SFT-DPO-4bitquantized

Text Generation
Transformers
Safetensors
openelm
custom_code
4-bit precision
gptq
Model card Files Community
OpenELM-450M-Instruct-databaes-SFT-DPO-4bitquantized
File size: 2,058 Bytes 
8c087f8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
e73d7c6
8c087f8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
bde9853
8c087f8
 
 
 
 
 
 
 
 
 
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
 
{
  "_name_or_path": "best_model_big",
  "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,
    0.68,
    0.87,
    1.05,
    1.24,
    1.42,
    1.61,
    1.79,
    1.97,
    2.16,
    2.34,
    2.53,
    2.71,
    2.89,
    3.08,
    3.26,
    3.45,
    3.63,
    3.82,
    4.0
  ],
  "ffn_with_glu": true,
  "head_dim": 64,
  "initializer_range": 0.02,
  "max_context_length": 2048,
  "model_dim": 1536,
  "model_type": "openelm",
  "normalization_layer_name": "rms_norm",
  "normalize_qk_projections": true,
  "num_gqa_groups": 4,
  "num_kv_heads": [
    3,
    3,
    3,
    4,
    4,
    4,
    4,
    4,
    4,
    4,
    5,
    5,
    5,
    5,
    5,
    5,
    6,
    6,
    6,
    6
  ],
  "num_query_heads": [
    12,
    12,
    12,
    16,
    16,
    16,
    16,
    16,
    16,
    16,
    20,
    20,
    20,
    20,
    20,
    20,
    24,
    24,
    24,
    24
  ],
  "num_transformer_layers": 20,
  "qkv_multipliers": [
    0.5,
    1.0
  ],
  "quantization_config": {
    "batch_size": 1,
    "bits": 4,
    "block_name_to_quantize": "transformer.layers",
    "cache_block_outputs": true,
    "damp_percent": 0.1,
    "dataset": "c4",
    "desc_act": false,
    "exllama_config": {
      "version": 1
    },
    "group_size": 128,
    "max_input_length": null,
    "model_seqlen": null,
    "module_name_preceding_first_block": null,
    "modules_in_block_to_quantize": null,
    "pad_token_id": null,
    "quant_method": "gptq",
    "sym": true,
    "tokenizer": null,
    "true_sequential": true,
    "use_cuda_fp16": false,
    "use_exllama": false
  },
  "rope_freq_constant": 10000,
  "rope_max_length": 4096,
  "share_input_output_layers": true,
  "torch_dtype": "float16",
  "transformers_version": "4.41.2",
  "use_cache": true,
  "vocab_size": 32000
}