Upload 14 files
Browse files- config.json +29 -0
- generation_config.json +7 -0
- hash_record_sha256.json +58 -0
- openvino_detokenizer.bin +3 -0
- openvino_detokenizer.xml +97 -0
- openvino_model.bin +3 -0
- openvino_model.xml +0 -0
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +231 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +41 -0
config.json
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{
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"_name_or_path": "llmware/slim-ner",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 5632,
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"max_position_embeddings": 2048,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 22,
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"num_key_value_heads": 4,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"trained": "custom training",
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"transformers_version": "4.41.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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generation_config.json
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{
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"bos_token_id": 1,
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"eos_token_id": 2,
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"max_length": 2048,
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"pad_token_id": 0,
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"transformers_version": "4.41.2"
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}
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hash_record_sha256.json
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"config.json": "62a0670339ff51d761743b1032b449d9c3197ee6c085912c567594521fe88fbb",
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"generation_config.json": "b713fd4ac99c3979dfb3bb079f723295c28201b8c4044458291cd5a72cf64215",
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"openvino_detokenizer.bin": "9556d0a1f310629e217450ac4198c49f5457f1a69e22ce7c9f8e81fab4d530a7",
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"openvino_detokenizer.xml": "abb4774824b8bdd5d8a006a6780de3c98b3967e0b475279e30449bc8c53bf146",
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"openvino_model.bin": "4ba8f722a2f0c7f97673a852943d90a38b61e493b1c54a9fd361d42ac1e4cf5b",
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"openvino_model.xml": "eb1cbc14f4357cff3bc9daf06c9b94c2af637de4777e73646d3a2c4de9d758cd",
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"openvino_tokenizer.bin": "9ec38b843ff6c229ec650d242feaad2c9e4fa694c69d5e20a8e68b95a878c7ad",
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"openvino_tokenizer.xml": "545caa5e69754f101e7db13e1129fabe3d4b87b1306ab272f0df38cda80cb408",
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"special_tokens_map.json": "b779ce0b2be00f7cfd9d6188ed88e94700dafc1a7138fef8fca88f06aca11dac",
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"tokenizer.json": "bf467c9e0f536bda271283c6ef85eb1a943e3196b621c8a912d64953b205df83",
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"tokenizer.model": "9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347",
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"tokenizer_config.json": "bd238ac5e35809a935fe299d5cd22fe94b702613a1468c5d3f12211674990cef",
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"time_stamp": "2024-07-29_103539"
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}
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openvino_detokenizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9556d0a1f310629e217450ac4198c49f5457f1a69e22ce7c9f8e81fab4d530a7
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size 499723
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openvino_detokenizer.xml
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<?xml version="1.0"?>
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<net name="detokenizer" version="11">
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<layers>
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<layer id="0" name="Parameter_159878" type="Parameter" version="opset1">
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<data shape="?,?" element_type="i64" />
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<output>
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<port id="0" precision="I64" names="Parameter_159878">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="1" name="Constant_159858" type="Const" version="opset1">
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<data element_type="u8" shape="499723" offset="0" size="499723" />
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<output>
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<port id="0" precision="U8">
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<dim>499723</dim>
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</port>
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</output>
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</layer>
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<layer id="2" name="Convert_159888" type="Convert" version="opset1">
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<data destination_type="i32" />
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<input>
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<port id="0" precision="I64">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="1" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="3" name="SentencepieceDetokenizer_159879" type="SentencepieceDetokenizer" version="extension">
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<input>
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<port id="0" precision="U8">
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<dim>499723</dim>
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</port>
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<port id="1" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="3" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="4" precision="U8">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="4" name="StringTensorPack_159880" type="StringTensorPack" version="extension">
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<data mode="begins_ends" />
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<input>
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<port id="0" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="1" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="2" precision="U8">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="3" precision="STRING" names="string_output">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="5" name="Result_159881" type="Result" version="opset1">
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<input>
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<port id="0" precision="STRING">
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<dim>-1</dim>
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</port>
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</input>
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</layer>
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</layers>
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<edges>
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<edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
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<edge from-layer="1" from-port="0" to-layer="3" to-port="0" />
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<edge from-layer="2" from-port="1" to-layer="3" to-port="1" />
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<edge from-layer="3" from-port="2" to-layer="4" to-port="0" />
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<edge from-layer="3" from-port="3" to-layer="4" to-port="1" />
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<edge from-layer="3" from-port="4" to-layer="4" to-port="2" />
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<edge from-layer="4" from-port="3" to-layer="5" to-port="0" />
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</edges>
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<rt_info>
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<eos_token_id value="2" />
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</rt_info>
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</net>
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openvino_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:4ba8f722a2f0c7f97673a852943d90a38b61e493b1c54a9fd361d42ac1e4cf5b
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size 732024896
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openvino_model.xml
ADDED
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openvino_tokenizer.bin
ADDED
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1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:9ec38b843ff6c229ec650d242feaad2c9e4fa694c69d5e20a8e68b95a878c7ad
|
3 |
+
size 499731
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openvino_tokenizer.xml
ADDED
@@ -0,0 +1,231 @@
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1 |
+
<?xml version="1.0"?>
|
2 |
+
<net name="tokenizer" version="11">
|
3 |
+
<layers>
|
4 |
+
<layer id="0" name="string_input" type="Parameter" version="opset1">
|
5 |
+
<data shape="?" element_type="string" />
|
6 |
+
<output>
|
7 |
+
<port id="0" precision="STRING" names="string_input">
|
8 |
+
<dim>-1</dim>
|
9 |
+
</port>
|
10 |
+
</output>
|
11 |
+
</layer>
|
12 |
+
<layer id="1" name="Constant_159864" type="Const" version="opset1">
|
13 |
+
<data element_type="i32" shape="" offset="0" size="4" />
|
14 |
+
<output>
|
15 |
+
<port id="0" precision="I32" />
|
16 |
+
</output>
|
17 |
+
</layer>
|
18 |
+
<layer id="2" name="Constant_159857" type="Const" version="opset1">
|
19 |
+
<data element_type="u8" shape="499723" offset="4" size="499723" />
|
20 |
+
<output>
|
21 |
+
<port id="0" precision="U8">
|
22 |
+
<dim>499723</dim>
|
23 |
+
</port>
|
24 |
+
</output>
|
25 |
+
</layer>
|
26 |
+
<layer id="3" name="SentencepieceTokenizer_159860" type="SentencepieceTokenizer" version="extension">
|
27 |
+
<data nbest_size="0" alpha="0" add_bos="true" add_eos="false" reverse="false" />
|
28 |
+
<input>
|
29 |
+
<port id="0" precision="U8">
|
30 |
+
<dim>499723</dim>
|
31 |
+
</port>
|
32 |
+
<port id="1" precision="STRING">
|
33 |
+
<dim>-1</dim>
|
34 |
+
</port>
|
35 |
+
</input>
|
36 |
+
<output>
|
37 |
+
<port id="2" precision="I64">
|
38 |
+
<dim>-1</dim>
|
39 |
+
<dim>2</dim>
|
40 |
+
</port>
|
41 |
+
<port id="3" precision="I32">
|
42 |
+
<dim>-1</dim>
|
43 |
+
</port>
|
44 |
+
<port id="4" precision="I64">
|
45 |
+
<dim>2</dim>
|
46 |
+
</port>
|
47 |
+
</output>
|
48 |
+
</layer>
|
49 |
+
<layer id="4" name="Broadcast_159865" type="Broadcast" version="opset3">
|
50 |
+
<data mode="numpy" />
|
51 |
+
<input>
|
52 |
+
<port id="0" precision="I32" />
|
53 |
+
<port id="1" precision="I64">
|
54 |
+
<dim>2</dim>
|
55 |
+
</port>
|
56 |
+
</input>
|
57 |
+
<output>
|
58 |
+
<port id="2" precision="I32">
|
59 |
+
<dim>-1</dim>
|
60 |
+
<dim>-1</dim>
|
61 |
+
</port>
|
62 |
+
</output>
|
63 |
+
</layer>
|
64 |
+
<layer id="5" name="Constant_159866" type="Const" version="opset1">
|
65 |
+
<data element_type="i32" shape="" offset="499727" size="4" />
|
66 |
+
<output>
|
67 |
+
<port id="0" precision="I32" />
|
68 |
+
</output>
|
69 |
+
</layer>
|
70 |
+
<layer id="6" name="ShapeOf_159867" type="ShapeOf" version="opset3">
|
71 |
+
<data output_type="i64" />
|
72 |
+
<input>
|
73 |
+
<port id="0" precision="I32">
|
74 |
+
<dim>-1</dim>
|
75 |
+
</port>
|
76 |
+
</input>
|
77 |
+
<output>
|
78 |
+
<port id="1" precision="I64">
|
79 |
+
<dim>1</dim>
|
80 |
+
</port>
|
81 |
+
</output>
|
82 |
+
</layer>
|
83 |
+
<layer id="7" name="Broadcast_159868" type="Broadcast" version="opset3">
|
84 |
+
<data mode="numpy" />
|
85 |
+
<input>
|
86 |
+
<port id="0" precision="I32" />
|
87 |
+
<port id="1" precision="I64">
|
88 |
+
<dim>1</dim>
|
89 |
+
</port>
|
90 |
+
</input>
|
91 |
+
<output>
|
92 |
+
<port id="2" precision="I32">
|
93 |
+
<dim>-1</dim>
|
94 |
+
</port>
|
95 |
+
</output>
|
96 |
+
</layer>
|
97 |
+
<layer id="8" name="ScatterNDUpdate_159872" type="ScatterNDUpdate" version="opset4">
|
98 |
+
<input>
|
99 |
+
<port id="0" precision="I32">
|
100 |
+
<dim>-1</dim>
|
101 |
+
<dim>-1</dim>
|
102 |
+
</port>
|
103 |
+
<port id="1" precision="I64">
|
104 |
+
<dim>-1</dim>
|
105 |
+
<dim>2</dim>
|
106 |
+
</port>
|
107 |
+
<port id="2" precision="I32">
|
108 |
+
<dim>-1</dim>
|
109 |
+
</port>
|
110 |
+
</input>
|
111 |
+
<output>
|
112 |
+
<port id="3" precision="I32">
|
113 |
+
<dim>-1</dim>
|
114 |
+
<dim>-1</dim>
|
115 |
+
</port>
|
116 |
+
</output>
|
117 |
+
</layer>
|
118 |
+
<layer id="9" name="ScatterNDUpdate_159872" type="Convert" version="opset1">
|
119 |
+
<data destination_type="i64" />
|
120 |
+
<input>
|
121 |
+
<port id="0" precision="I32">
|
122 |
+
<dim>-1</dim>
|
123 |
+
<dim>-1</dim>
|
124 |
+
</port>
|
125 |
+
</input>
|
126 |
+
<output>
|
127 |
+
<port id="1" precision="I64" names="attention_mask">
|
128 |
+
<dim>-1</dim>
|
129 |
+
<dim>-1</dim>
|
130 |
+
</port>
|
131 |
+
</output>
|
132 |
+
</layer>
|
133 |
+
<layer id="11" name="Constant_159861" type="Const" version="opset1">
|
134 |
+
<data element_type="i32" shape="" offset="0" size="4" />
|
135 |
+
<output>
|
136 |
+
<port id="0" precision="I32" />
|
137 |
+
</output>
|
138 |
+
</layer>
|
139 |
+
<layer id="12" name="Broadcast_159862" type="Broadcast" version="opset3">
|
140 |
+
<data mode="numpy" />
|
141 |
+
<input>
|
142 |
+
<port id="0" precision="I32" />
|
143 |
+
<port id="1" precision="I64">
|
144 |
+
<dim>2</dim>
|
145 |
+
</port>
|
146 |
+
</input>
|
147 |
+
<output>
|
148 |
+
<port id="2" precision="I32">
|
149 |
+
<dim>-1</dim>
|
150 |
+
<dim>-1</dim>
|
151 |
+
</port>
|
152 |
+
</output>
|
153 |
+
</layer>
|
154 |
+
<layer id="13" name="ScatterNDUpdate_159863" type="ScatterNDUpdate" version="opset4">
|
155 |
+
<input>
|
156 |
+
<port id="0" precision="I32">
|
157 |
+
<dim>-1</dim>
|
158 |
+
<dim>-1</dim>
|
159 |
+
</port>
|
160 |
+
<port id="1" precision="I64">
|
161 |
+
<dim>-1</dim>
|
162 |
+
<dim>2</dim>
|
163 |
+
</port>
|
164 |
+
<port id="2" precision="I32">
|
165 |
+
<dim>-1</dim>
|
166 |
+
</port>
|
167 |
+
</input>
|
168 |
+
<output>
|
169 |
+
<port id="3" precision="I32">
|
170 |
+
<dim>-1</dim>
|
171 |
+
<dim>-1</dim>
|
172 |
+
</port>
|
173 |
+
</output>
|
174 |
+
</layer>
|
175 |
+
<layer id="14" name="ScatterNDUpdate_159863" type="Convert" version="opset1">
|
176 |
+
<data destination_type="i64" />
|
177 |
+
<input>
|
178 |
+
<port id="0" precision="I32">
|
179 |
+
<dim>-1</dim>
|
180 |
+
<dim>-1</dim>
|
181 |
+
</port>
|
182 |
+
</input>
|
183 |
+
<output>
|
184 |
+
<port id="1" precision="I64" names="input_ids">
|
185 |
+
<dim>-1</dim>
|
186 |
+
<dim>-1</dim>
|
187 |
+
</port>
|
188 |
+
</output>
|
189 |
+
</layer>
|
190 |
+
<layer id="15" name="Result_159873" type="Result" version="opset1">
|
191 |
+
<input>
|
192 |
+
<port id="0" precision="I64">
|
193 |
+
<dim>-1</dim>
|
194 |
+
<dim>-1</dim>
|
195 |
+
</port>
|
196 |
+
</input>
|
197 |
+
</layer>
|
198 |
+
<layer id="10" name="Result_159874" type="Result" version="opset1">
|
199 |
+
<input>
|
200 |
+
<port id="0" precision="I64">
|
201 |
+
<dim>-1</dim>
|
202 |
+
<dim>-1</dim>
|
203 |
+
</port>
|
204 |
+
</input>
|
205 |
+
</layer>
|
206 |
+
</layers>
|
207 |
+
<edges>
|
208 |
+
<edge from-layer="0" from-port="0" to-layer="3" to-port="1" />
|
209 |
+
<edge from-layer="1" from-port="0" to-layer="4" to-port="0" />
|
210 |
+
<edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
|
211 |
+
<edge from-layer="3" from-port="4" to-layer="4" to-port="1" />
|
212 |
+
<edge from-layer="3" from-port="3" to-layer="6" to-port="0" />
|
213 |
+
<edge from-layer="3" from-port="2" to-layer="8" to-port="1" />
|
214 |
+
<edge from-layer="3" from-port="4" to-layer="12" to-port="1" />
|
215 |
+
<edge from-layer="3" from-port="2" to-layer="13" to-port="1" />
|
216 |
+
<edge from-layer="3" from-port="3" to-layer="13" to-port="2" />
|
217 |
+
<edge from-layer="4" from-port="2" to-layer="8" to-port="0" />
|
218 |
+
<edge from-layer="5" from-port="0" to-layer="7" to-port="0" />
|
219 |
+
<edge from-layer="6" from-port="1" to-layer="7" to-port="1" />
|
220 |
+
<edge from-layer="7" from-port="2" to-layer="8" to-port="2" />
|
221 |
+
<edge from-layer="8" from-port="3" to-layer="9" to-port="0" />
|
222 |
+
<edge from-layer="9" from-port="1" to-layer="10" to-port="0" />
|
223 |
+
<edge from-layer="11" from-port="0" to-layer="12" to-port="0" />
|
224 |
+
<edge from-layer="12" from-port="2" to-layer="13" to-port="0" />
|
225 |
+
<edge from-layer="13" from-port="3" to-layer="14" to-port="0" />
|
226 |
+
<edge from-layer="14" from-port="1" to-layer="15" to-port="0" />
|
227 |
+
</edges>
|
228 |
+
<rt_info>
|
229 |
+
<eos_token_id value="2" />
|
230 |
+
</rt_info>
|
231 |
+
</net>
|
special_tokens_map.json
ADDED
@@ -0,0 +1,23 @@
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|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"unk_token": {
|
17 |
+
"content": "<unk>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
}
|
23 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
tokenizer_config.json
ADDED
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
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|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"bos_token": "<s>",
|
31 |
+
"clean_up_tokenization_spaces": false,
|
32 |
+
"eos_token": "</s>",
|
33 |
+
"legacy": false,
|
34 |
+
"model_max_length": 1000000000000000019884624838656,
|
35 |
+
"pad_token": null,
|
36 |
+
"padding_side": "right",
|
37 |
+
"sp_model_kwargs": {},
|
38 |
+
"tokenizer_class": "LlamaTokenizer",
|
39 |
+
"unk_token": "<unk>",
|
40 |
+
"use_default_system_prompt": false
|
41 |
+
}
|