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Qwen3-Reranker-0.6B-fp16-ov

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Files changed (6) hide show
  1. config.json +2 -2
  2. generation_config.json +1 -1
  3. openvino_detokenizer.xml +18 -17
  4. openvino_model.bin +2 -2
  5. openvino_model.xml +0 -0
  6. openvino_tokenizer.xml +121 -72
config.json CHANGED
@@ -5,6 +5,7 @@
5
  "attention_bias": false,
6
  "attention_dropout": 0.0,
7
  "bos_token_id": 151643,
 
8
  "eos_token_id": 151645,
9
  "head_dim": 128,
10
  "hidden_act": "silu",
@@ -52,8 +53,7 @@
52
  "rope_theta": 1000000,
53
  "sliding_window": null,
54
  "tie_word_embeddings": true,
55
- "torch_dtype": "float16",
56
- "transformers_version": "4.55.4",
57
  "use_cache": true,
58
  "use_sliding_window": false,
59
  "vocab_size": 151669
 
5
  "attention_bias": false,
6
  "attention_dropout": 0.0,
7
  "bos_token_id": 151643,
8
+ "dtype": "float16",
9
  "eos_token_id": 151645,
10
  "head_dim": 128,
11
  "hidden_act": "silu",
 
53
  "rope_theta": 1000000,
54
  "sliding_window": null,
55
  "tie_word_embeddings": true,
56
+ "transformers_version": "4.57.6",
 
57
  "use_cache": true,
58
  "use_sliding_window": false,
59
  "vocab_size": 151669
generation_config.json CHANGED
@@ -9,5 +9,5 @@
9
  "temperature": 0.6,
10
  "top_k": 20,
11
  "top_p": 0.95,
12
- "transformers_version": "4.55.4"
13
  }
 
9
  "temperature": 0.6,
10
  "top_k": 20,
11
  "top_p": 0.95,
12
+ "transformers_version": "4.57.6"
13
  }
openvino_detokenizer.xml CHANGED
@@ -1,16 +1,16 @@
1
  <?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_71517" 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_71517">
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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="Convert_71716" 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">
@@ -25,7 +25,7 @@
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  </port>
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  </output>
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  </layer>
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- <layer id="2" name="Constant_71519" type="Const" version="opset1">
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  <data element_type="i32" shape="151669" offset="0" size="606676" />
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  <output>
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  <port id="0" precision="I32">
@@ -33,7 +33,7 @@
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  </port>
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  </output>
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  </layer>
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- <layer id="3" name="Constant_71521" type="Const" version="opset1">
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  <data element_type="i32" shape="151669" offset="606676" size="606676" />
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  <output>
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  <port id="0" precision="I32">
@@ -41,7 +41,7 @@
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  </port>
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  </output>
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- <layer id="4" name="Constant_71523" type="Const" version="opset1">
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  <data element_type="u8" shape="976309" offset="1213352" size="976309" />
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  <output>
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  <port id="0" precision="U8">
@@ -49,7 +49,7 @@
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  </port>
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  </output>
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  </layer>
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- <layer id="5" name="Slice_71528" type="Const" version="opset1">
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  <data element_type="i32" shape="14" offset="2189661" size="56" />
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  <output>
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  <port id="0" precision="I32">
@@ -57,7 +57,7 @@
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  </port>
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  </output>
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- <layer id="6" name="VocabDecoder_71530" type="VocabDecoder" version="extension">
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  <data skip_tokens="" />
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  <port id="0" precision="I32">
@@ -95,7 +95,7 @@
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@@ -119,7 +119,7 @@
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- <layer id="8" name="UTF8Validate_71532" type="UTF8Validate" version="extension">
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  <port id="0" precision="I32">
@@ -144,7 +144,7 @@
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  </port>
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- <layer id="9" name="StringTensorPack_71533" type="StringTensorPack" version="opset15">
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  <port id="0" precision="I32">
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  <dim>-1</dim>
@@ -157,12 +157,12 @@
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- <port id="3" precision="STRING" names="Result_71534,string_output">
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  <input>
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  <port id="0" precision="STRING">
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  <dim>-1</dim>
@@ -200,18 +200,19 @@
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  <handle_special_tokens_with_re />
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  <max_length />
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  <number_of_inputs value="1" />
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- <openvino_tokenizers_version value="2025.4.0.0-617-b2d52c80e23" />
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- <openvino_version value="2025.4.0-20128-67fddb40e31" />
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  <original_post_processor_template value="{&quot;type&quot;: &quot;ByteLevel&quot;, &quot;add_prefix_space&quot;: false, &quot;trim_offsets&quot;: false, &quot;use_regex&quot;: false}" />
206
  <original_tokenizer_class value="&lt;class 'transformers.models.qwen2.tokenization_qwen2_fast.Qwen2TokenizerFast'>" />
207
  <pad_token_id value="151643" />
 
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  <sentencepiece_version value="0.2.1" />
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  <skip_special_tokens value="True" />
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  <streaming_detokenizer value="False" />
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  <tiktoken_version value="0.12.0" />
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  <tokenizer_output_type value="i64" />
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- <tokenizers_version value="0.21.4" />
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- <transformers_version value="4.55.4" />
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  <use_max_padding value="False" />
216
  <use_sentencepiece_backend value="False" />
217
  <utf8_replace_mode value="replace" />
 
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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_64028" type="Parameter" version="opset1">
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  <data shape="?,?" element_type="i64" />
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  <data element_type="i32" shape="151669" offset="0" size="606676" />
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  <output>
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  <data element_type="i32" shape="151669" offset="606676" size="606676" />
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  <output>
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  <data element_type="u8" shape="976309" offset="1213352" size="976309" />
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  <output>
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+ <layer id="6" name="VocabDecoder_64041" type="VocabDecoder" version="extension">
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  <data skip_tokens="" />
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  <input>
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  <port id="0" precision="I32">
 
95
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96
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+ <layer id="7" name="FuzeRagged_64042" type="FuzeRagged" version="extension">
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  <input>
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  <port id="0" precision="I32">
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  <dim>-1</dim>
 
119
  </port>
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+ <layer id="8" name="UTF8Validate_64043" type="UTF8Validate" version="extension">
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  <input>
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  <port id="0" precision="I32">
 
144
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  </layer>
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+ <layer id="9" name="StringTensorPack_64044" type="StringTensorPack" version="opset15">
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  <input>
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  <port id="0" precision="I32">
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  <dim>-1</dim>
 
157
  </port>
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  </input>
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  <output>
160
+ <port id="3" precision="STRING" names="Result_64045,string_output">
161
  <dim>-1</dim>
162
  </port>
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  </output>
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  </layer>
165
+ <layer id="10" name="Result_64045" type="Result" version="opset1" output_names="Result_64045,string_output">
166
  <input>
167
  <port id="0" precision="STRING">
168
  <dim>-1</dim>
 
200
  <handle_special_tokens_with_re />
201
  <max_length />
202
  <number_of_inputs value="1" />
203
+ <openvino_tokenizers_version value="2026.0.0.0-632-47cea02a2d4" />
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+ <openvino_version value="2026.0.0-20961-f08e8b36350-releases/2026/0" />
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  <original_post_processor_template value="{&quot;type&quot;: &quot;ByteLevel&quot;, &quot;add_prefix_space&quot;: false, &quot;trim_offsets&quot;: false, &quot;use_regex&quot;: false}" />
206
  <original_tokenizer_class value="&lt;class 'transformers.models.qwen2.tokenization_qwen2_fast.Qwen2TokenizerFast'>" />
207
  <pad_token_id value="151643" />
208
+ <processed_post_processor_template value="{&quot;single&quot;: {&quot;ids&quot;: [-1], &quot;type_ids&quot;: [0]}, &quot;pair&quot;: {&quot;ids&quot;: [-1, -2], &quot;type_ids&quot;: [0, 0]}}" />
209
  <sentencepiece_version value="0.2.1" />
210
  <skip_special_tokens value="True" />
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  <streaming_detokenizer value="False" />
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  <tiktoken_version value="0.12.0" />
213
  <tokenizer_output_type value="i64" />
214
+ <tokenizers_version value="0.22.2" />
215
+ <transformers_version value="4.57.6" />
216
  <use_max_padding value="False" />
217
  <use_sentencepiece_backend value="False" />
218
  <utf8_replace_mode value="replace" />
openvino_model.bin CHANGED
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openvino_model.xml CHANGED
The diff for this file is too large to render. See raw diff
 
openvino_tokenizer.xml CHANGED
@@ -1,21 +1,21 @@
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@@ -33,7 +33,7 @@
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@@ -46,19 +46,19 @@
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@@ -71,13 +71,13 @@
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@@ -90,19 +90,19 @@
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@@ -112,13 +112,13 @@
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@@ -131,7 +131,7 @@
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@@ -274,7 +274,7 @@
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344
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@@ -346,7 +346,7 @@
346
  </port>
347
  </output>
348
  </layer>
349
- <layer id="29" name="Constant_71486" type="Const" version="opset1">
350
  <data element_type="i32" shape="26" offset="5588258" size="104" />
351
  <output>
352
  <port id="0" precision="I32">
@@ -354,7 +354,7 @@
354
  </port>
355
  </output>
356
  </layer>
357
- <layer id="30" name="Constant_71488" type="Const" version="opset1">
358
  <data element_type="u8" shape="340" offset="5588362" size="340" />
359
  <output>
360
  <port id="0" precision="U8">
@@ -362,7 +362,7 @@
362
  </port>
363
  </output>
364
  </layer>
365
- <layer id="31" name="Constant_71501" type="Const" version="opset1">
366
  <data element_type="i32" shape="26" offset="5588702" size="104" />
367
  <output>
368
  <port id="0" precision="I32">
@@ -370,7 +370,7 @@
370
  </port>
371
  </output>
372
  </layer>
373
- <layer id="32" name="BPETokenizer_71502" type="BPETokenizer" version="extension">
374
  <data unk_token="" fuse_unk="false" suffix_indicator="" end_suffix="" byte_fallback="false" cache_capacity="30328" />
375
  <input>
376
  <port id="0" precision="I32">
@@ -440,13 +440,13 @@
440
  </port>
441
  </output>
442
  </layer>
443
- <layer id="33" name="Constant_71503" type="Const" version="opset1">
444
  <data element_type="i32" shape="" offset="5588806" size="4" />
445
  <output>
446
  <port id="0" precision="I32" />
447
  </output>
448
  </layer>
449
- <layer id="34" name="Constant_71505" type="Const" version="opset1">
450
  <data element_type="u8" shape="4" offset="5588810" size="4" />
451
  <output>
452
  <port id="0" precision="U8">
@@ -454,7 +454,7 @@
454
  </port>
455
  </output>
456
  </layer>
457
- <layer id="35" name="Constant_71507" type="Const" version="opset1">
458
  <data element_type="u8" shape="13" offset="5588814" size="13" />
459
  <output>
460
  <port id="0" precision="U8">
@@ -462,7 +462,7 @@
462
  </port>
463
  </output>
464
  </layer>
465
- <layer id="36" name="Truncate_71508" type="Truncate" version="extension">
466
  <data m_num_inputs="1" />
467
  <input>
468
  <port id="0" precision="I32">
@@ -494,7 +494,51 @@
494
  </port>
495
  </output>
496
  </layer>
497
- <layer id="37" name="Subtract_71509" type="Subtract" version="opset1">
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
498
  <data auto_broadcast="numpy" />
499
  <input>
500
  <port id="0" precision="I32">
@@ -510,13 +554,13 @@
510
  </port>
511
  </output>
512
  </layer>
513
- <layer id="38" name="Constant_71510" type="Const" version="opset1">
514
  <data element_type="i32" shape="" offset="5588827" size="4" />
515
  <output>
516
  <port id="0" precision="I32" />
517
  </output>
518
  </layer>
519
- <layer id="39" name="ReduceMax_71511" type="ReduceMax" version="opset1">
520
  <data keep_dims="false" />
521
  <input>
522
  <port id="0" precision="I32">
@@ -528,13 +572,13 @@
528
  <port id="2" precision="I32" />
529
  </output>
530
  </layer>
531
- <layer id="40" name="Constant_71512" type="Const" version="opset1">
532
  <data element_type="i32" shape="" offset="5588831" size="4" />
533
  <output>
534
  <port id="0" precision="I32" />
535
  </output>
536
  </layer>
537
- <layer id="41" name="RaggedToDense_71513" type="RaggedToDense" version="extension">
538
  <data pad_right="false" m_pad_max_length="false" />
539
  <input>
540
  <port id="0" precision="I32">
@@ -560,7 +604,7 @@
560
  </port>
561
  </output>
562
  </layer>
563
- <layer id="42" name="Convert_71514" type="Convert" version="opset1">
564
  <data destination_type="i32" />
565
  <input>
566
  <port id="0" precision="BOOL">
@@ -575,7 +619,7 @@
575
  </port>
576
  </output>
577
  </layer>
578
- <layer id="43" name="Convert_71514.0" type="Convert" version="opset1">
579
  <data destination_type="i64" />
580
  <input>
581
  <port id="0" precision="I32">
@@ -590,7 +634,7 @@
590
  </port>
591
  </output>
592
  </layer>
593
- <layer id="45" name="RaggedToDense_71513.0" type="Convert" version="opset1">
594
  <data destination_type="i64" />
595
  <input>
596
  <port id="0" precision="I32">
@@ -605,7 +649,7 @@
605
  </port>
606
  </output>
607
  </layer>
608
- <layer id="46" name="Result_71515" type="Result" version="opset1" output_names="input_ids">
609
  <input>
610
  <port id="0" precision="I64">
611
  <dim>-1</dim>
@@ -613,7 +657,7 @@
613
  </port>
614
  </input>
615
  </layer>
616
- <layer id="44" name="Result_71516" type="Result" version="opset1" output_names="attention_mask">
617
  <input>
618
  <port id="0" precision="I64">
619
  <dim>-1</dim>
@@ -642,22 +686,22 @@
642
  <edge from-layer="12" from-port="0" to-layer="13" to-port="2" />
643
  <edge from-layer="13" from-port="3" to-layer="15" to-port="1" />
644
  <edge from-layer="14" from-port="0" to-layer="15" to-port="5" />
645
- <edge from-layer="15" from-port="8" to-layer="16" to-port="0" />
646
  <edge from-layer="15" from-port="7" to-layer="18" to-port="1" />
647
  <edge from-layer="15" from-port="6" to-layer="18" to-port="0" />
648
  <edge from-layer="15" from-port="11" to-layer="16" to-port="3" />
649
- <edge from-layer="15" from-port="10" to-layer="16" to-port="2" />
650
  <edge from-layer="15" from-port="9" to-layer="16" to-port="1" />
 
651
  <edge from-layer="16" from-port="4" to-layer="18" to-port="2" />
652
  <edge from-layer="16" from-port="5" to-layer="18" to-port="3" />
653
  <edge from-layer="16" from-port="6" to-layer="18" to-port="4" />
654
  <edge from-layer="16" from-port="7" to-layer="18" to-port="5" />
655
  <edge from-layer="17" from-port="0" to-layer="18" to-port="6" />
656
- <edge from-layer="18" from-port="11" to-layer="32" to-port="4" />
657
- <edge from-layer="18" from-port="10" to-layer="32" to-port="3" />
658
  <edge from-layer="18" from-port="8" to-layer="32" to-port="1" />
659
  <edge from-layer="18" from-port="9" to-layer="32" to-port="2" />
660
- <edge from-layer="18" from-port="7" to-layer="32" to-port="0" />
 
661
  <edge from-layer="19" from-port="0" to-layer="32" to-port="5" />
662
  <edge from-layer="20" from-port="0" to-layer="32" to-port="6" />
663
  <edge from-layer="21" from-port="0" to-layer="32" to-port="7" />
@@ -671,26 +715,30 @@
671
  <edge from-layer="29" from-port="0" to-layer="32" to-port="15" />
672
  <edge from-layer="30" from-port="0" to-layer="32" to-port="16" />
673
  <edge from-layer="31" from-port="0" to-layer="32" to-port="17" />
674
- <edge from-layer="32" from-port="20" to-layer="36" to-port="2" />
675
  <edge from-layer="32" from-port="18" to-layer="36" to-port="0" />
676
  <edge from-layer="32" from-port="19" to-layer="36" to-port="1" />
 
677
  <edge from-layer="33" from-port="0" to-layer="36" to-port="3" />
678
  <edge from-layer="34" from-port="0" to-layer="36" to-port="4" />
679
  <edge from-layer="35" from-port="0" to-layer="36" to-port="5" />
680
- <edge from-layer="36" from-port="6" to-layer="41" to-port="0" />
681
- <edge from-layer="36" from-port="8" to-layer="41" to-port="2" />
682
- <edge from-layer="36" from-port="7" to-layer="41" to-port="1" />
683
- <edge from-layer="36" from-port="6" to-layer="37" to-port="1" />
684
- <edge from-layer="36" from-port="7" to-layer="37" to-port="0" />
685
- <edge from-layer="37" from-port="2" to-layer="39" to-port="0" />
686
- <edge from-layer="38" from-port="0" to-layer="39" to-port="1" />
687
- <edge from-layer="39" from-port="2" to-layer="41" to-port="3" />
688
- <edge from-layer="40" from-port="0" to-layer="41" to-port="4" />
689
- <edge from-layer="41" from-port="6" to-layer="42" to-port="0" />
690
- <edge from-layer="41" from-port="5" to-layer="45" to-port="0" />
691
- <edge from-layer="42" from-port="1" to-layer="43" to-port="0" />
692
- <edge from-layer="43" from-port="1" to-layer="44" to-port="0" />
693
- <edge from-layer="45" from-port="1" to-layer="46" to-port="0" />
 
 
 
 
694
  </edges>
695
  <rt_info>
696
  <add_attention_mask value="True" />
@@ -703,19 +751,20 @@
703
  <handle_special_tokens_with_re />
704
  <max_length />
705
  <number_of_inputs value="1" />
706
- <openvino_tokenizers_version value="2025.4.0.0-617-b2d52c80e23" />
707
- <openvino_version value="2025.4.0-20128-67fddb40e31" />
708
  <original_post_processor_template value="{&quot;type&quot;: &quot;ByteLevel&quot;, &quot;add_prefix_space&quot;: false, &quot;trim_offsets&quot;: false, &quot;use_regex&quot;: false}" />
709
  <original_tokenizer_class value="&lt;class 'transformers.models.qwen2.tokenization_qwen2_fast.Qwen2TokenizerFast'>" />
710
  <pad_token_id value="151643" />
 
711
  <sentencepiece_version value="0.2.1" />
712
  <simplified_chat_template value="{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '&lt;|im_start|>system&#10;You are a helpful assistant.&lt;|im_end|>&#10;' }}{% endif %}{{'&lt;|im_start|>' + message['role'] + '&#10;' + message['content'] + '&lt;|im_end|>' + '&#10;'}}{% endfor %}{% if add_generation_prompt %}{{ '&lt;|im_start|>assistant&#10;' }}{% endif %}" />
713
  <skip_special_tokens value="True" />
714
  <streaming_detokenizer value="False" />
715
  <tiktoken_version value="0.12.0" />
716
  <tokenizer_output_type value="i64" />
717
- <tokenizers_version value="0.21.4" />
718
- <transformers_version value="4.55.4" />
719
  <use_max_padding value="False" />
720
  <use_sentencepiece_backend value="False" />
721
  <utf8_replace_mode value="replace" />
 
1
  <?xml version="1.0"?>
2
  <net name="tokenizer" version="11">
3
  <layers>
4
+ <layer id="0" name="Parameter_63900" type="Parameter" version="opset1">
5
  <data shape="?" element_type="string" />
6
  <output>
7
+ <port id="0" precision="STRING" names="Parameter_63900">
8
  <dim>-1</dim>
9
  </port>
10
  </output>
11
  </layer>
12
+ <layer id="1" name="Constant_63906" type="Const" version="opset1">
13
  <data element_type="i64" shape="" offset="0" size="8" />
14
  <output>
15
  <port id="0" precision="I64" />
16
  </output>
17
  </layer>
18
+ <layer id="2" name="StringTensorUnpack_63901" type="StringTensorUnpack" version="opset15">
19
  <input>
20
  <port id="0" precision="STRING">
21
  <dim>-1</dim>
 
33
  </port>
34
  </output>
35
  </layer>
36
+ <layer id="3" name="ShapeOf_63902" type="ShapeOf" version="opset3">
37
  <data output_type="i64" />
38
  <input>
39
  <port id="0" precision="I32">
 
46
  </port>
47
  </output>
48
  </layer>
49
+ <layer id="4" name="Constant_63903" type="Const" version="opset1">
50
  <data element_type="i64" shape="" offset="0" size="8" />
51
  <output>
52
  <port id="0" precision="I64" />
53
  </output>
54
  </layer>
55
+ <layer id="5" name="Constant_63904" type="Const" version="opset1">
56
  <data element_type="i64" shape="" offset="0" size="8" />
57
  <output>
58
  <port id="0" precision="I64" />
59
  </output>
60
  </layer>
61
+ <layer id="6" name="Gather_63905" type="Gather" version="opset8">
62
  <data batch_dims="0" />
63
  <input>
64
  <port id="0" precision="I64">
 
71
  <port id="3" precision="I64" />
72
  </output>
73
  </layer>
74
+ <layer id="7" name="Constant_63907" type="Const" version="opset1">
75
  <data element_type="i64" shape="" offset="8" size="8" />
76
  <output>
77
  <port id="0" precision="I64" />
78
  </output>
79
  </layer>
80
+ <layer id="8" name="Range_63908" type="Range" version="opset4">
81
  <data output_type="i32" />
82
  <input>
83
  <port id="0" precision="I64" />
 
90
  </port>
91
  </output>
92
  </layer>
93
+ <layer id="9" name="Constant_63909" type="Const" version="opset1">
94
  <data element_type="i64" shape="" offset="8" size="8" />
95
  <output>
96
  <port id="0" precision="I64" />
97
  </output>
98
  </layer>
99
+ <layer id="10" name="Constant_63910" type="Const" version="opset1">
100
  <data element_type="i64" shape="" offset="8" size="8" />
101
  <output>
102
  <port id="0" precision="I64" />
103
  </output>
104
  </layer>
105
+ <layer id="11" name="Add_63911" type="Add" version="opset1">
106
  <data auto_broadcast="numpy" />
107
  <input>
108
  <port id="0" precision="I64" />
 
112
  <port id="2" precision="I64" />
113
  </output>
114
  </layer>
115
+ <layer id="12" name="Constant_63912" type="Const" version="opset1">
116
  <data element_type="i64" shape="" offset="8" size="8" />
117
  <output>
118
  <port id="0" precision="I64" />
119
  </output>
120
  </layer>
121
+ <layer id="13" name="Range_63913" type="Range" version="opset4">
122
  <data output_type="i32" />
123
  <input>
124
  <port id="0" precision="I64" />
 
131
  </port>
132
  </output>
133
  </layer>
134
+ <layer id="14" name="Constant_63977" type="Const" version="opset1">
135
  <data element_type="u8" shape="462" offset="16" size="462" />
136
  <output>
137
  <port id="0" precision="U8">
 
139
  </port>
140
  </output>
141
  </layer>
142
+ <layer id="15" name="SpecialTokensSplit_63978" type="SpecialTokensSplit" version="extension">
143
  <input>
144
  <port id="0" precision="I32">
145
  <dim>-1</dim>
 
181
  </port>
182
  </output>
183
  </layer>
184
+ <layer id="16" name="CharsMapNormalization_63979" type="CharsMapNormalization" version="extension">
185
  <data add_dummy_prefix="false" remove_extra_whitespaces="false" escape_whitespaces="false" normalization_form="nfc" case_fold="false" nmt="false" />
186
  <input>
187
  <port id="0" precision="I32">
 
212
  </port>
213
  </output>
214
  </layer>
215
+ <layer id="17" name="Constant_63981" type="Const" version="opset1">
216
  <data element_type="u8" shape="110" offset="478" size="110" />
217
  <output>
218
  <port id="0" precision="U8">
 
220
  </port>
221
  </output>
222
  </layer>
223
+ <layer id="18" name="RegexSplit_63982" type="RegexSplit" version="extension">
224
  <data behaviour="isolate" invert="false" max_splits="-1" />
225
  <input>
226
  <port id="0" precision="I32">
 
266
  </port>
267
  </output>
268
  </layer>
269
+ <layer id="19" name="Constant_63984" type="Const" version="opset1">
270
  <data element_type="i32" shape="151669" offset="588" size="606676" />
271
  <output>
272
  <port id="0" precision="I32">
 
274
  </port>
275
  </output>
276
  </layer>
277
+ <layer id="20" name="Constant_63986" type="Const" version="opset1">
278
  <data element_type="i32" shape="151669" offset="607264" size="606676" />
279
  <output>
280
  <port id="0" precision="I32">
 
282
  </port>
283
  </output>
284
  </layer>
285
+ <layer id="21" name="Constant_63988" type="Const" version="opset1">
286
  <data element_type="u8" shape="976309" offset="1213940" size="976309" />
287
  <output>
288
  <port id="0" precision="U8">
 
290
  </port>
291
  </output>
292
  </layer>
293
+ <layer id="22" name="Constant_63996" type="Const" version="opset1">
294
  <data element_type="i32" shape="151387" offset="2190249" size="605548" />
295
  <output>
296
  <port id="0" precision="I32">
 
298
  </port>
299
  </output>
300
  </layer>
301
+ <layer id="23" name="Constant_63998" type="Const" version="opset1">
302
  <data element_type="i32" shape="151387" offset="2795797" size="605548" />
303
  <output>
304
  <port id="0" precision="I32">
 
306
  </port>
307
  </output>
308
  </layer>
309
+ <layer id="24" name="Constant_64000" type="Const" version="opset1">
310
  <data element_type="u8" shape="491359" offset="3401345" size="491359" />
311
  <output>
312
  <port id="0" precision="U8">
 
314
  </port>
315
  </output>
316
  </layer>
317
+ <layer id="25" name="Constant_64002" type="Const" version="opset1">
318
  <data element_type="i32" shape="151387" offset="3892704" size="605548" />
319
  <output>
320
  <port id="0" precision="I32">
 
322
  </port>
323
  </output>
324
  </layer>
325
+ <layer id="26" name="Constant_64004" type="Const" version="opset1">
326
  <data element_type="i32" shape="151387" offset="4498252" size="605548" />
327
  <output>
328
  <port id="0" precision="I32">
 
330
  </port>
331
  </output>
332
  </layer>
333
+ <layer id="27" name="Constant_64006" type="Const" version="opset1">
334
  <data element_type="u8" shape="484354" offset="5103800" size="484354" />
335
  <output>
336
  <port id="0" precision="U8">
 
338
  </port>
339
  </output>
340
  </layer>
341
+ <layer id="28" name="Constant_63990" type="Const" version="opset1">
342
  <data element_type="i32" shape="26" offset="5588154" size="104" />
343
  <output>
344
  <port id="0" precision="I32">
 
346
  </port>
347
  </output>
348
  </layer>
349
+ <layer id="29" name="Constant_63992" type="Const" version="opset1">
350
  <data element_type="i32" shape="26" offset="5588258" size="104" />
351
  <output>
352
  <port id="0" precision="I32">
 
354
  </port>
355
  </output>
356
  </layer>
357
+ <layer id="30" name="Constant_63994" type="Const" version="opset1">
358
  <data element_type="u8" shape="340" offset="5588362" size="340" />
359
  <output>
360
  <port id="0" precision="U8">
 
362
  </port>
363
  </output>
364
  </layer>
365
+ <layer id="31" name="Constant_64007" type="Const" version="opset1">
366
  <data element_type="i32" shape="26" offset="5588702" size="104" />
367
  <output>
368
  <port id="0" precision="I32">
 
370
  </port>
371
  </output>
372
  </layer>
373
+ <layer id="32" name="BPETokenizer_64008" type="BPETokenizer" version="extension">
374
  <data unk_token="" fuse_unk="false" suffix_indicator="" end_suffix="" byte_fallback="false" cache_capacity="30328" />
375
  <input>
376
  <port id="0" precision="I32">
 
440
  </port>
441
  </output>
442
  </layer>
443
+ <layer id="33" name="Constant_64009" type="Const" version="opset1">
444
  <data element_type="i32" shape="" offset="5588806" size="4" />
445
  <output>
446
  <port id="0" precision="I32" />
447
  </output>
448
  </layer>
449
+ <layer id="34" name="Constant_64011" type="Const" version="opset1">
450
  <data element_type="u8" shape="4" offset="5588810" size="4" />
451
  <output>
452
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454
  </port>
455
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456
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457
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458
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459
  <output>
460
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462
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463
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464
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465
+ <layer id="36" name="Truncate_64014" type="Truncate" version="extension">
466
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467
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468
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494
  </port>
495
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496
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497
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498
+ <data element_type="i32" shape="1" offset="5588827" size="4" />
499
+ <output>
500
+ <port id="0" precision="I32">
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+ <dim>1</dim>
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503
+ </output>
504
+ </layer>
505
+ <layer id="38" name="CombineSegments_64016" type="CombineSegments" version="extension">
506
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507
+ <port id="0" precision="I32">
508
+ <dim>-1</dim>
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510
+ <port id="1" precision="I32">
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+ <dim>-1</dim>
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513
+ <port id="2" precision="I32">
514
+ <dim>-1</dim>
515
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516
+ <port id="3" precision="I32">
517
+ <dim>1</dim>
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519
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520
+ <output>
521
+ <port id="4" precision="I32">
522
+ <dim>-1</dim>
523
+ </port>
524
+ <port id="5" precision="I32">
525
+ <dim>-1</dim>
526
+ </port>
527
+ <port id="6" precision="I32">
528
+ <dim>-1</dim>
529
+ </port>
530
+ <port id="7" precision="I32">
531
+ <dim>-1</dim>
532
+ </port>
533
+ <port id="8" precision="I32">
534
+ <dim>-1</dim>
535
+ </port>
536
+ <port id="9" precision="I32">
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+ <dim>-1</dim>
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+ </port>
539
+ </output>
540
+ </layer>
541
+ <layer id="39" name="Subtract_64017" type="Subtract" version="opset1">
542
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543
  <input>
544
  <port id="0" precision="I32">
 
554
  </port>
555
  </output>
556
  </layer>
557
+ <layer id="40" name="Constant_64018" type="Const" version="opset1">
558
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559
  <output>
560
  <port id="0" precision="I32" />
561
  </output>
562
  </layer>
563
+ <layer id="41" name="ReduceMax_64019" type="ReduceMax" version="opset1">
564
  <data keep_dims="false" />
565
  <input>
566
  <port id="0" precision="I32">
 
572
  <port id="2" precision="I32" />
573
  </output>
574
  </layer>
575
+ <layer id="42" name="Constant_64020" type="Const" version="opset1">
576
  <data element_type="i32" shape="" offset="5588831" size="4" />
577
  <output>
578
  <port id="0" precision="I32" />
579
  </output>
580
  </layer>
581
+ <layer id="43" name="RaggedToDense_64021" type="RaggedToDense" version="extension">
582
  <data pad_right="false" m_pad_max_length="false" />
583
  <input>
584
  <port id="0" precision="I32">
 
604
  </port>
605
  </output>
606
  </layer>
607
+ <layer id="44" name="Convert_64022" type="Convert" version="opset1">
608
  <data destination_type="i32" />
609
  <input>
610
  <port id="0" precision="BOOL">
 
619
  </port>
620
  </output>
621
  </layer>
622
+ <layer id="45" name="Convert_64022.0" type="Convert" version="opset1">
623
  <data destination_type="i64" />
624
  <input>
625
  <port id="0" precision="I32">
 
634
  </port>
635
  </output>
636
  </layer>
637
+ <layer id="46" name="RaggedToDense_64021.0" type="Convert" version="opset1">
638
  <data destination_type="i64" />
639
  <input>
640
  <port id="0" precision="I32">
 
649
  </port>
650
  </output>
651
  </layer>
652
+ <layer id="47" name="Result_64025" type="Result" version="opset1" output_names="input_ids">
653
  <input>
654
  <port id="0" precision="I64">
655
  <dim>-1</dim>
 
657
  </port>
658
  </input>
659
  </layer>
660
+ <layer id="48" name="Result_64027" type="Result" version="opset1" output_names="attention_mask">
661
  <input>
662
  <port id="0" precision="I64">
663
  <dim>-1</dim>
 
686
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702
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715
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716
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718
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719
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720
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721
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722
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723
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724
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741
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742
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743
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744
  <add_attention_mask value="True" />
 
751
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752
  <max_length />
753
  <number_of_inputs value="1" />
754
+ <openvino_tokenizers_version value="2026.0.0.0-632-47cea02a2d4" />
755
+ <openvino_version value="2026.0.0-20961-f08e8b36350-releases/2026/0" />
756
  <original_post_processor_template value="{&quot;type&quot;: &quot;ByteLevel&quot;, &quot;add_prefix_space&quot;: false, &quot;trim_offsets&quot;: false, &quot;use_regex&quot;: false}" />
757
  <original_tokenizer_class value="&lt;class 'transformers.models.qwen2.tokenization_qwen2_fast.Qwen2TokenizerFast'>" />
758
  <pad_token_id value="151643" />
759
+ <processed_post_processor_template value="{&quot;single&quot;: {&quot;ids&quot;: [-1], &quot;type_ids&quot;: [0]}, &quot;pair&quot;: {&quot;ids&quot;: [-1, -2], &quot;type_ids&quot;: [0, 0]}}" />
760
  <sentencepiece_version value="0.2.1" />
761
  <simplified_chat_template value="{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '&lt;|im_start|>system&#10;You are a helpful assistant.&lt;|im_end|>&#10;' }}{% endif %}{{'&lt;|im_start|>' + message['role'] + '&#10;' + message['content'] + '&lt;|im_end|>' + '&#10;'}}{% endfor %}{% if add_generation_prompt %}{{ '&lt;|im_start|>assistant&#10;' }}{% endif %}" />
762
  <skip_special_tokens value="True" />
763
  <streaming_detokenizer value="False" />
764
  <tiktoken_version value="0.12.0" />
765
  <tokenizer_output_type value="i64" />
766
+ <tokenizers_version value="0.22.2" />
767
+ <transformers_version value="4.57.6" />
768
  <use_max_padding value="False" />
769
  <use_sentencepiece_backend value="False" />
770
  <utf8_replace_mode value="replace" />