Upload folder using huggingface_hub
Browse files- config.json +56 -0
- onnx/model.onnx +3 -0
- onnx/model_quantized.onnx +3 -0
- quantize_config.json +39 -0
config.json
ADDED
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "nomic-ai/nomic-embed-text-v1",
|
3 |
+
"activation_function": "swiglu",
|
4 |
+
"architectures": [
|
5 |
+
"NomicBertModel"
|
6 |
+
],
|
7 |
+
"attn_pdrop": 0.0,
|
8 |
+
"auto_map": {
|
9 |
+
"AutoConfig": "nomic-ai/nomic-embed-text-v1--configuration_hf_nomic_bert.NomicBertConfig",
|
10 |
+
"AutoModel": "nomic-ai/nomic-embed-text-v1--modeling_hf_nomic_bert.NomicBertModel",
|
11 |
+
"AutoModelForMaskedLM": "nomic-ai/nomic-bert-2048--modeling_hf_nomic_bert.NomicBertForPreTraining"
|
12 |
+
},
|
13 |
+
"bos_token_id": null,
|
14 |
+
"causal": false,
|
15 |
+
"dense_seq_output": true,
|
16 |
+
"embd_pdrop": 0.0,
|
17 |
+
"eos_token_id": null,
|
18 |
+
"fused_bias_fc": true,
|
19 |
+
"fused_dropout_add_ln": true,
|
20 |
+
"initializer_range": 0.02,
|
21 |
+
"layer_norm_epsilon": 1e-12,
|
22 |
+
"mlp_fc1_bias": false,
|
23 |
+
"mlp_fc2_bias": false,
|
24 |
+
"model_type": "nomic_bert",
|
25 |
+
"n_embd": 768,
|
26 |
+
"n_head": 12,
|
27 |
+
"n_inner": 3072,
|
28 |
+
"n_layer": 12,
|
29 |
+
"n_positions": 8192,
|
30 |
+
"pad_vocab_size_multiple": 64,
|
31 |
+
"parallel_block": false,
|
32 |
+
"parallel_block_tied_norm": false,
|
33 |
+
"prenorm": false,
|
34 |
+
"qkv_proj_bias": false,
|
35 |
+
"reorder_and_upcast_attn": false,
|
36 |
+
"resid_pdrop": 0.0,
|
37 |
+
"rotary_emb_base": 1000,
|
38 |
+
"rotary_emb_fraction": 1.0,
|
39 |
+
"rotary_emb_interleaved": false,
|
40 |
+
"rotary_emb_scale_base": null,
|
41 |
+
"rotary_scaling_factor": null,
|
42 |
+
"scale_attn_by_inverse_layer_idx": false,
|
43 |
+
"scale_attn_weights": true,
|
44 |
+
"summary_activation": null,
|
45 |
+
"summary_first_dropout": 0.0,
|
46 |
+
"summary_proj_to_labels": true,
|
47 |
+
"summary_type": "cls_index",
|
48 |
+
"summary_use_proj": true,
|
49 |
+
"transformers_version": "4.37.2",
|
50 |
+
"type_vocab_size": 2,
|
51 |
+
"use_cache": true,
|
52 |
+
"use_flash_attn": true,
|
53 |
+
"use_rms_norm": false,
|
54 |
+
"use_xentropy": true,
|
55 |
+
"vocab_size": 30528
|
56 |
+
}
|
onnx/model.onnx
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:347440e93b5ec979fdcf6041b72721aade7b9680c16022e2830db7115ff6fd9f
|
3 |
+
size 547552426
|
onnx/model_quantized.onnx
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b7941066a6529a287e2502ea6cb68ff82006d311eac53627dc88c259cbcbda64
|
3 |
+
size 138355983
|
quantize_config.json
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"per_channel": true,
|
3 |
+
"reduce_range": true,
|
4 |
+
"per_model_config": {
|
5 |
+
"model": {
|
6 |
+
"op_types": [
|
7 |
+
"Transpose",
|
8 |
+
"ReduceMean",
|
9 |
+
"Sigmoid",
|
10 |
+
"Sub",
|
11 |
+
"Add",
|
12 |
+
"Where",
|
13 |
+
"Gather",
|
14 |
+
"Div",
|
15 |
+
"Unsqueeze",
|
16 |
+
"ConstantOfShape",
|
17 |
+
"Mul",
|
18 |
+
"Pow",
|
19 |
+
"Neg",
|
20 |
+
"Sqrt",
|
21 |
+
"Softmax",
|
22 |
+
"Reshape",
|
23 |
+
"Slice",
|
24 |
+
"Equal",
|
25 |
+
"Constant",
|
26 |
+
"MatMul",
|
27 |
+
"Einsum",
|
28 |
+
"Sin",
|
29 |
+
"Cos",
|
30 |
+
"Concat",
|
31 |
+
"Range",
|
32 |
+
"Cast",
|
33 |
+
"Expand",
|
34 |
+
"Shape"
|
35 |
+
],
|
36 |
+
"weight_type": "QInt8"
|
37 |
+
}
|
38 |
+
}
|
39 |
+
}
|