Hugging Face's logo

twangodev
/
Ming-3.0-audio-tiny-NVFP4

Audio-Text-to-Text
ONNX
Safetensors
English
Chinese
Model Optimizer
bailing_moe_v3_audio
audio
speech
automatic-speech-recognition
audio-understanding
audio-reasoning
speech-to-text
conversational
mixture-of-experts
quantized
nvfp4
fp4
4-bit precision
modelopt
blackwell
custom_code
Eval Results (legacy)
Eval Results
8-bit precision
Model card Files
xet
 Community
Ming-3.0-audio-tiny-NVFP4
File size: 2,789 Bytes
234056e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
    "producer": {
        "name": "modelopt",
        "version": "0.47.0"
    },
    "quantization": {
        "quant_algo": "NVFP4",
        "kv_cache_quant_algo": null,
        "group_size": 16,
        "exclude_modules": [
            "linear_proj_audio*",
            "lm_head",
            "model.audio*",
            "model.layers.0*",
            "model.layers.1.attention*",
            "model.layers.1.mlp.gate",
            "model.layers.1.mlp.shared_experts*",
            "model.layers.10*",
            "model.layers.11.attention*",
            "model.layers.11.mlp.gate",
            "model.layers.11.mlp.shared_experts*",
            "model.layers.12.attention*",
            "model.layers.12.mlp.gate",
            "model.layers.12.mlp.shared_experts*",
            "model.layers.13.attention*",
            "model.layers.13.mlp.gate",
            "model.layers.13.mlp.shared_experts*",
            "model.layers.14.attention*",
            "model.layers.14.mlp.gate",
            "model.layers.14.mlp.shared_experts*",
            "model.layers.15*",
            "model.layers.16.attention*",
            "model.layers.16.mlp.gate",
            "model.layers.16.mlp.shared_experts*",
            "model.layers.17.attention*",
            "model.layers.17.mlp.gate",
            "model.layers.17.mlp.shared_experts*",
            "model.layers.18*",
            "model.layers.19.attention*",
            "model.layers.19.mlp.gate",
            "model.layers.19.mlp.shared_experts*",
            "model.layers.2.attention*",
            "model.layers.2.mlp.gate",
            "model.layers.2.mlp.shared_experts*",
            "model.layers.20*",
            "model.layers.21*",
            "model.layers.22*",
            "model.layers.23.attention*",
            "model.layers.23.mlp.gate",
            "model.layers.23.mlp.shared_experts*",
            "model.layers.24*",
            "model.layers.3.attention*",
            "model.layers.3.mlp.gate",
            "model.layers.3.mlp.shared_experts*",
            "model.layers.4.attention*",
            "model.layers.4.mlp.gate",
            "model.layers.4.mlp.shared_experts*",
            "model.layers.5*",
            "model.layers.6.attention*",
            "model.layers.6.mlp.gate",
            "model.layers.6.mlp.shared_experts*",
            "model.layers.7.attention*",
            "model.layers.7.mlp.gate",
            "model.layers.7.mlp.shared_experts*",
            "model.layers.8.attention*",
            "model.layers.8.mlp.gate",
            "model.layers.8.mlp.shared_experts*",
            "model.layers.9.attention*",
            "model.layers.9.mlp.gate",
            "model.layers.9.mlp.shared_experts*",
            "model.word_embeddings",
            "model.layers.24.*"
        ]
    }
}