Hugging Face's logo

OPEA
/
Meta-Llama-3.1-70B-Instruct-int4-sym-inc

Safetensors
llama
4-bit precision
intel/auto-round
Model card Files Community
Meta-Llama-3.1-70B-Instruct-int4-sym-inc
File size: 3,713 Bytes 
90c15db
2252808
90c15db
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2252808
 
90c15db
 
2252808
90c15db
 
 
 
 
2252808
90c15db
2252808
 
 
 
90c15db
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2252808
90c15db
 
 
 
 
 
 
 
 
 
 
2252808
90c15db
 
 
 
 
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
 
{
  "_name_or_path": ".",
  "architectures": [
    "LlamaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 128000,
  "eos_token_id": [
    128001,
    128008,
    128009
  ],
  "head_dim": 128,
  "hidden_act": "silu",
  "hidden_size": 8192,
  "initializer_range": 0.02,
  "intermediate_size": 28672,
  "max_position_embeddings": 131072,
  "mlp_bias": false,
  "model_type": "llama",
  "num_attention_heads": 64,
  "num_hidden_layers": 80,
  "num_key_value_heads": 8,
  "pretraining_tp": 1,
  "quantization_config": {
    "amp": true,
    "autoround_version": "0.4.1",
    "backend": "auto_round:gptq:exllamav2",
    "batch_size": 8,
    "bits": 4,
    "data_type": "int",
    "dataset": "NeelNanda/pile-10k",
    "enable_minmax_tuning": true,
    "enable_norm_bias_tuning": false,
    "enable_quanted_input": true,
    "gradient_accumulate_steps": 1,
    "group_size": 128,
    "iters": 1000,
    "low_gpu_mem_usage": true,
    "lr": 0.001,
    "minmax_lr": 0.001,
    "nsamples": 512,
    "quant_method": "intel/auto-round",
    "scale_dtype": "torch.float16",
    "seqlen": 2048,
    "sym": true,
    "to_quant_block_names": [
      [
        "model.layers.0",
        "model.layers.1",
        "model.layers.2",
        "model.layers.3",
        "model.layers.4",
        "model.layers.5",
        "model.layers.6",
        "model.layers.7",
        "model.layers.8",
        "model.layers.9",
        "model.layers.10",
        "model.layers.11",
        "model.layers.12",
        "model.layers.13",
        "model.layers.14",
        "model.layers.15",
        "model.layers.16",
        "model.layers.17",
        "model.layers.18",
        "model.layers.19",
        "model.layers.20",
        "model.layers.21",
        "model.layers.22",
        "model.layers.23",
        "model.layers.24",
        "model.layers.25",
        "model.layers.26",
        "model.layers.27",
        "model.layers.28",
        "model.layers.29",
        "model.layers.30",
        "model.layers.31",
        "model.layers.32",
        "model.layers.33",
        "model.layers.34",
        "model.layers.35",
        "model.layers.36",
        "model.layers.37",
        "model.layers.38",
        "model.layers.39",
        "model.layers.40",
        "model.layers.41",
        "model.layers.42",
        "model.layers.43",
        "model.layers.44",
        "model.layers.45",
        "model.layers.46",
        "model.layers.47",
        "model.layers.48",
        "model.layers.49",
        "model.layers.50",
        "model.layers.51",
        "model.layers.52",
        "model.layers.53",
        "model.layers.54",
        "model.layers.55",
        "model.layers.56",
        "model.layers.57",
        "model.layers.58",
        "model.layers.59",
        "model.layers.60",
        "model.layers.61",
        "model.layers.62",
        "model.layers.63",
        "model.layers.64",
        "model.layers.65",
        "model.layers.66",
        "model.layers.67",
        "model.layers.68",
        "model.layers.69",
        "model.layers.70",
        "model.layers.71",
        "model.layers.72",
        "model.layers.73",
        "model.layers.74",
        "model.layers.75",
        "model.layers.76",
        "model.layers.77",
        "model.layers.78",
        "model.layers.79"
      ]
    ]
  },
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "factor": 8.0,
    "high_freq_factor": 4.0,
    "low_freq_factor": 1.0,
    "original_max_position_embeddings": 8192,
    "rope_type": "llama3"
  },
  "rope_theta": 500000.0,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.46.1",
  "use_cache": true,
  "vocab_size": 128256
}