Hugging Face's logo

EdgeCompress01
/
Llama-3.2-3B-Instruct-GPTQ-4bit

Safetensors
llama
4-bit precision
gptq
Model card Files
xet
 Community
Llama-3.2-3B-Instruct-GPTQ-4bit
File size: 2,097 Bytes
6611689
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "architectures": [
    "LlamaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 128000,
  "dtype": "bfloat16",
  "eos_token_id": [
    128001,
    128008,
    128009
  ],
  "head_dim": 128,
  "hidden_act": "silu",
  "hidden_size": 3072,
  "initializer_range": 0.02,
  "intermediate_size": 8192,
  "max_position_embeddings": 131072,
  "mlp_bias": false,
  "model_type": "llama",
  "num_attention_heads": 24,
  "num_hidden_layers": 28,
  "num_key_value_heads": 8,
  "pad_token_id": null,
  "pretraining_tp": 1,
  "quantization_config": {
    "bits": 4,
    "checkpoint_format": "gptq",
    "desc_act": false,
    "format": "gptq",
    "group_size": 128,
    "lm_head": false,
    "meta": {
      "act_group_aware": true,
      "auto_forward_data_parallel": true,
      "damp_auto_increment": 0.01,
      "damp_percent": 0.05,
      "failsafe": {
        "smooth": {
          "group_size_threshold": 128,
          "k": 2.75,
          "type": "mad"
        },
        "strategy": "rtn",
        "threshold": "0.5%"
      },
      "gc_mode": "interval",
      "gptaq": null,
      "hessian": {
        "chunk_bytes": null,
        "chunk_size": null,
        "staging_dtype": "float32"
      },
      "mock_quantization": false,
      "mse": 0.0,
      "offload_to_disk": true,
      "offload_to_disk_path": "./gptqmodel_offload/znzwasrn-gqcllywg/",
      "pack_impl": "cpu",
      "quantizer": [
        "gptqmodel:5.7.0"
      ],
      "static_groups": false,
      "true_sequential": true,
      "uri": "https://github.com/modelcloud/gptqmodel",
      "vram_strategy": "exclusive",
      "wait_for_submodule_finalizers": false
    },
    "pack_dtype": "int32",
    "quant_method": "gptq",
    "sym": true
  },
  "rms_norm_eps": 1e-05,
  "rope_parameters": {
    "factor": 32.0,
    "high_freq_factor": 4.0,
    "low_freq_factor": 1.0,
    "original_max_position_embeddings": 8192,
    "rope_theta": 500000.0,
    "rope_type": "llama3"
  },
  "tie_word_embeddings": true,
  "transformers_version": "5.3.0",
  "use_cache": true,
  "vocab_size": 128256
}