Hugging Face's logo

arpesenti
/
Fara-7B-NVFP4

Safetensors
qwen2_5_vl
8-bit precision
compressed-tensors
Model card Files
xet
 Community
Fara-7B-NVFP4
File size: 2,567 Bytes
1c4f92c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "config_groups": {
    "group_0": {
      "targets": [
        "Linear"
      ],
      "weights": {
        "num_bits": 4,
        "type": "float",
        "symmetric": true,
        "group_size": 16,
        "strategy": "tensor_group",
        "block_structure": null,
        "dynamic": false,
        "actorder": null,
        "scale_dtype": "torch.float8_e4m3fn",
        "zp_dtype": null,
        "observer": "memoryless_minmax",
        "observer_kwargs": {}
      },
      "input_activations": {
        "num_bits": 4,
        "type": "float",
        "symmetric": true,
        "group_size": 16,
        "strategy": "tensor_group",
        "block_structure": null,
        "dynamic": "local",
        "actorder": null,
        "scale_dtype": "torch.float8_e4m3fn",
        "zp_dtype": null,
        "observer": "static_minmax",
        "observer_kwargs": {}
      },
      "output_activations": null,
      "format": null
    }
  },
  "quant_method": "compressed-tensors",
  "kv_cache_scheme": null,
  "format": "nvfp4-pack-quantized",
  "quantization_status": "compressed",
  "global_compression_ratio": null,
  "ignore": [
    "model.visual.blocks.0.mlp.down_proj",
    "model.visual.blocks.1.mlp.down_proj",
    "model.visual.blocks.2.mlp.down_proj",
    "model.visual.blocks.3.mlp.down_proj",
    "model.visual.blocks.4.mlp.down_proj",
    "model.visual.blocks.5.mlp.down_proj",
    "model.visual.blocks.6.mlp.down_proj",
    "model.visual.blocks.7.mlp.down_proj",
    "model.visual.blocks.8.mlp.down_proj",
    "model.visual.blocks.9.mlp.down_proj",
    "model.visual.blocks.10.mlp.down_proj",
    "model.visual.blocks.11.mlp.down_proj",
    "model.visual.blocks.12.mlp.down_proj",
    "model.visual.blocks.13.mlp.down_proj",
    "model.visual.blocks.14.mlp.down_proj",
    "model.visual.blocks.15.mlp.down_proj",
    "model.visual.blocks.16.mlp.down_proj",
    "model.visual.blocks.17.mlp.down_proj",
    "model.visual.blocks.18.mlp.down_proj",
    "model.visual.blocks.19.mlp.down_proj",
    "model.visual.blocks.20.mlp.down_proj",
    "model.visual.blocks.21.mlp.down_proj",
    "model.visual.blocks.22.mlp.down_proj",
    "model.visual.blocks.23.mlp.down_proj",
    "model.visual.blocks.24.mlp.down_proj",
    "model.visual.blocks.25.mlp.down_proj",
    "model.visual.blocks.26.mlp.down_proj",
    "model.visual.blocks.27.mlp.down_proj",
    "model.visual.blocks.28.mlp.down_proj",
    "model.visual.blocks.29.mlp.down_proj",
    "model.visual.blocks.30.mlp.down_proj",
    "model.visual.blocks.31.mlp.down_proj"
  ],
  "provider": "auto-round"
}