Hugging Face's logo

shadowrock-io
/
Nemotron-3-Embed-8B-Community-NVFP4

Sentence Similarity
Safetensors
vllm
ministral3
nvfp4
modelopt
fp4
blackwell
embeddings
text-embeddings
feature-extraction
retrieval
semantic-search
rag
mteb
nemotron
quantized
4-bit precision
information-retrieval
dense-retrieval
vector-search
matryoshka
arxiv:2502.13595
Eval Results (legacy)
8-bit precision
Model card Files
xet
 Community
Nemotron-3-Embed-8B-Community-NVFP4
File size: 3,233 Bytes
c82078f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
    "architectures": [
        "Ministral3Model"
    ],
    "attention_dropout": 0.0,
    "bos_token_id": 1,
    "dtype": "bfloat16",
    "eos_token_id": 2,
    "head_dim": 128,
    "hidden_act": "silu",
    "hidden_size": 4096,
    "initializer_range": 0.02,
    "intermediate_size": 14336,
    "is_causal": false,
    "llama_4_scaling": {
        "beta": 0.1,
        "original_max_position_embeddings": 16384
    },
    "max_position_embeddings": 262144,
    "model_type": "ministral3",
    "nemo_version": "0.3.0rc0",
    "num_attention_heads": 32,
    "num_hidden_layers": 34,
    "num_key_value_heads": 8,
    "pad_token_id": 11,
    "pooling": "avg",
    "rms_norm_eps": 1e-05,
    "rope_parameters": {
        "apply_yarn_scaling": false,
        "beta_fast": 32.0,
        "beta_slow": 1.0,
        "factor": 16.0,
        "llama_4_scaling_beta": 0.1,
        "mscale": 1.0,
        "mscale_all_dim": 1.0,
        "original_max_position_embeddings": 16384,
        "rope_theta": 1000000.0,
        "rope_type": "yarn",
        "type": "yarn"
    },
    "sliding_window": null,
    "tie_word_embeddings": false,
    "transformers_version": "5.14.1",
    "use_cache": true,
    "vocab_size": 131072,
    "quantization_config": {
        "config_groups": {
            "group_0": {
                "input_activations": {
                    "dynamic": false,
                    "num_bits": 4,
                    "type": "float",
                    "group_size": 16
                },
                "weights": {
                    "dynamic": false,
                    "num_bits": 4,
                    "type": "float",
                    "group_size": 16
                },
                "targets": [
                    "Linear"
                ]
            }
        },
        "ignore": [
            "embed_tokens",
            "layers.0.self_attn*",
            "layers.1.self_attn*",
            "layers.10.self_attn*",
            "layers.11.self_attn*",
            "layers.12.self_attn*",
            "layers.13.self_attn*",
            "layers.14.self_attn*",
            "layers.15.self_attn*",
            "layers.16.self_attn*",
            "layers.17.self_attn*",
            "layers.18.self_attn*",
            "layers.19.self_attn*",
            "layers.2.self_attn*",
            "layers.20.self_attn*",
            "layers.21.self_attn*",
            "layers.22.self_attn*",
            "layers.23.self_attn*",
            "layers.24.self_attn*",
            "layers.25.self_attn*",
            "layers.26.self_attn*",
            "layers.27.self_attn*",
            "layers.28.self_attn*",
            "layers.29.self_attn*",
            "layers.3.self_attn*",
            "layers.30.self_attn*",
            "layers.31.self_attn*",
            "layers.32.self_attn*",
            "layers.33.self_attn*",
            "layers.4.self_attn*",
            "layers.5.self_attn*",
            "layers.6.self_attn*",
            "layers.7.self_attn*",
            "layers.8.self_attn*",
            "layers.9.self_attn*"
        ],
        "quant_algo": "NVFP4",
        "producer": {
            "name": "modelopt",
            "version": "0.45.0"
        },
        "quant_method": "modelopt"
    }
}