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Hermes-3-Llama-3.2-3B-awq-ov

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Files changed (10) hide show
  1. config.json +1 -1
  2. generation_config.json +1 -1
  3. openvino_config.json +6 -3
  4. openvino_detokenizer.bin +3 -0
  5. openvino_detokenizer.xml +336 -0
  6. openvino_model.bin +2 -2
  7. openvino_model.xml +0 -0
  8. openvino_tokenizer.bin +3 -0
  9. openvino_tokenizer.xml +777 -0
  10. tokenizer_config.json +2 -1
config.json CHANGED
@@ -30,7 +30,7 @@
30
  "rope_theta": 500000.0,
31
  "tie_word_embeddings": true,
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  "torch_dtype": "bfloat16",
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- "transformers_version": "4.45.2",
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  "use_cache": false,
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  "vocab_size": 128256
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  }
 
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  "rope_theta": 500000.0,
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  "tie_word_embeddings": true,
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  "torch_dtype": "bfloat16",
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+ "transformers_version": "4.49.0",
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  "use_cache": false,
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  "vocab_size": 128256
36
  }
generation_config.json CHANGED
@@ -9,5 +9,5 @@
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  ],
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  "temperature": 0.6,
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  "top_p": 0.9,
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- "transformers_version": "4.45.2"
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  }
 
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  ],
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  "temperature": 0.6,
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  "top_p": 0.9,
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+ "transformers_version": "4.49.0"
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  }
openvino_config.json CHANGED
@@ -2,18 +2,21 @@
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  "compression": null,
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  "dtype": "int4",
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  "input_info": null,
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- "optimum_version": "1.23.2",
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  "quantization_config": {
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  "all_layers": null,
 
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  "bits": 4,
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  "dataset": "wikitext2",
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  "gptq": null,
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  "group_size": 128,
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  "ignored_scope": null,
 
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  "num_samples": null,
 
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  "quant_method": "awq",
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  "ratio": 1.0,
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- "scale_estimation": null,
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  "sensitivity_metric": null,
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  "sym": true,
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  "tokenizer": null,
@@ -21,5 +24,5 @@
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  "weight_format": "int4"
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  },
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  "save_onnx_model": false,
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- "transformers_version": "4.45.2"
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  }
 
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  "compression": null,
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  "dtype": "int4",
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  "input_info": null,
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+ "optimum_version": "1.24.0",
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  "quantization_config": {
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  "all_layers": null,
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+ "backup_precision": null,
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  "bits": 4,
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  "dataset": "wikitext2",
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  "gptq": null,
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  "group_size": 128,
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  "ignored_scope": null,
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+ "lora_correction": null,
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  "num_samples": null,
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+ "processor": null,
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  "quant_method": "awq",
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  "ratio": 1.0,
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+ "scale_estimation": true,
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  "sensitivity_metric": null,
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  "sym": true,
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  "tokenizer": null,
 
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  "weight_format": "int4"
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  },
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  "save_onnx_model": false,
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+ "transformers_version": "4.49.0"
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  }
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openvino_detokenizer.xml ADDED
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+ <chat_template value="{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'&lt;|im_start|>' + message['role'] + '&#10;' + message['content'] + '&lt;|im_end|>' + '&#10;'}}{% endfor %}{% if add_generation_prompt %}{{ '&lt;|im_start|>assistant&#10;' }}{% endif %}" />
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+ <dim>-1</dim>
520
+ </port>
521
+ <port id="6" precision="I32">
522
+ <dim>2</dim>
523
+ </port>
524
+ </input>
525
+ <output>
526
+ <port id="7" precision="I32">
527
+ <dim>-1</dim>
528
+ </port>
529
+ <port id="8" precision="I32">
530
+ <dim>-1</dim>
531
+ </port>
532
+ <port id="9" precision="I32">
533
+ <dim>-1</dim>
534
+ </port>
535
+ <port id="10" precision="I32">
536
+ <dim>-1</dim>
537
+ </port>
538
+ <port id="11" precision="I32">
539
+ <dim>-1</dim>
540
+ </port>
541
+ <port id="12" precision="I32">
542
+ <dim>-1</dim>
543
+ </port>
544
+ </output>
545
+ </layer>
546
+ <layer id="37" name="Subtract_1021695" type="Subtract" version="opset1">
547
+ <data auto_broadcast="numpy" />
548
+ <input>
549
+ <port id="0" precision="I32">
550
+ <dim>-1</dim>
551
+ </port>
552
+ <port id="1" precision="I32">
553
+ <dim>-1</dim>
554
+ </port>
555
+ </input>
556
+ <output>
557
+ <port id="2" precision="I32">
558
+ <dim>-1</dim>
559
+ </port>
560
+ </output>
561
+ </layer>
562
+ <layer id="38" name="Constant_1021696" type="Const" version="opset1">
563
+ <data element_type="i32" shape="" offset="0" size="4" />
564
+ <output>
565
+ <port id="0" precision="I32" />
566
+ </output>
567
+ </layer>
568
+ <layer id="39" name="ReduceMax_1021697" type="ReduceMax" version="opset1">
569
+ <data keep_dims="false" />
570
+ <input>
571
+ <port id="0" precision="I32">
572
+ <dim>-1</dim>
573
+ </port>
574
+ <port id="1" precision="I32" />
575
+ </input>
576
+ <output>
577
+ <port id="2" precision="I32" />
578
+ </output>
579
+ </layer>
580
+ <layer id="40" name="Constant_1021698" type="Const" version="opset1">
581
+ <data element_type="i32" shape="" offset="5640444" size="4" />
582
+ <output>
583
+ <port id="0" precision="I32" />
584
+ </output>
585
+ </layer>
586
+ <layer id="41" name="RaggedToDense_1021699" type="RaggedToDense" version="extension">
587
+ <data pad_right="false" />
588
+ <input>
589
+ <port id="0" precision="I32">
590
+ <dim>-1</dim>
591
+ </port>
592
+ <port id="1" precision="I32">
593
+ <dim>-1</dim>
594
+ </port>
595
+ <port id="2" precision="I32">
596
+ <dim>-1</dim>
597
+ </port>
598
+ <port id="3" precision="I32" />
599
+ <port id="4" precision="I32" />
600
+ </input>
601
+ <output>
602
+ <port id="5" precision="I32">
603
+ <dim>-1</dim>
604
+ <dim>-1</dim>
605
+ </port>
606
+ <port id="6" precision="BOOL">
607
+ <dim>-1</dim>
608
+ <dim>-1</dim>
609
+ </port>
610
+ </output>
611
+ </layer>
612
+ <layer id="42" name="Convert_1021700" type="Convert" version="opset1">
613
+ <data destination_type="i32" />
614
+ <input>
615
+ <port id="0" precision="BOOL">
616
+ <dim>-1</dim>
617
+ <dim>-1</dim>
618
+ </port>
619
+ </input>
620
+ <output>
621
+ <port id="1" precision="I32">
622
+ <dim>-1</dim>
623
+ <dim>-1</dim>
624
+ </port>
625
+ </output>
626
+ </layer>
627
+ <layer id="43" name="Convert_1021700.0" type="Convert" version="opset1">
628
+ <data destination_type="i64" />
629
+ <input>
630
+ <port id="0" precision="I32">
631
+ <dim>-1</dim>
632
+ <dim>-1</dim>
633
+ </port>
634
+ </input>
635
+ <output>
636
+ <port id="1" precision="I64" names="attention_mask">
637
+ <dim>-1</dim>
638
+ <dim>-1</dim>
639
+ </port>
640
+ </output>
641
+ </layer>
642
+ <layer id="45" name="RaggedToDense_1021699.0" type="Convert" version="opset1">
643
+ <data destination_type="i64" />
644
+ <input>
645
+ <port id="0" precision="I32">
646
+ <dim>-1</dim>
647
+ <dim>-1</dim>
648
+ </port>
649
+ </input>
650
+ <output>
651
+ <port id="1" precision="I64" names="input_ids">
652
+ <dim>-1</dim>
653
+ <dim>-1</dim>
654
+ </port>
655
+ </output>
656
+ </layer>
657
+ <layer id="46" name="Result_1021703" type="Result" version="opset1">
658
+ <input>
659
+ <port id="0" precision="I64">
660
+ <dim>-1</dim>
661
+ <dim>-1</dim>
662
+ </port>
663
+ </input>
664
+ </layer>
665
+ <layer id="44" name="Result_1021705" type="Result" version="opset1">
666
+ <input>
667
+ <port id="0" precision="I64">
668
+ <dim>-1</dim>
669
+ <dim>-1</dim>
670
+ </port>
671
+ </input>
672
+ </layer>
673
+ </layers>
674
+ <edges>
675
+ <edge from-layer="0" from-port="0" to-layer="5" to-port="0" />
676
+ <edge from-layer="1" from-port="0" to-layer="36" to-port="0" />
677
+ <edge from-layer="2" from-port="0" to-layer="36" to-port="1" />
678
+ <edge from-layer="3" from-port="0" to-layer="36" to-port="2" />
679
+ <edge from-layer="4" from-port="0" to-layer="11" to-port="0" />
680
+ <edge from-layer="5" from-port="1" to-layer="6" to-port="0" />
681
+ <edge from-layer="5" from-port="3" to-layer="18" to-port="4" />
682
+ <edge from-layer="5" from-port="2" to-layer="18" to-port="3" />
683
+ <edge from-layer="5" from-port="1" to-layer="18" to-port="2" />
684
+ <edge from-layer="6" from-port="1" to-layer="9" to-port="0" />
685
+ <edge from-layer="7" from-port="0" to-layer="9" to-port="1" />
686
+ <edge from-layer="8" from-port="0" to-layer="9" to-port="2" />
687
+ <edge from-layer="9" from-port="3" to-layer="14" to-port="0" />
688
+ <edge from-layer="9" from-port="3" to-layer="11" to-port="1" />
689
+ <edge from-layer="10" from-port="0" to-layer="11" to-port="2" />
690
+ <edge from-layer="11" from-port="3" to-layer="18" to-port="0" />
691
+ <edge from-layer="12" from-port="0" to-layer="16" to-port="0" />
692
+ <edge from-layer="13" from-port="0" to-layer="14" to-port="1" />
693
+ <edge from-layer="14" from-port="2" to-layer="16" to-port="1" />
694
+ <edge from-layer="15" from-port="0" to-layer="16" to-port="2" />
695
+ <edge from-layer="16" from-port="3" to-layer="18" to-port="1" />
696
+ <edge from-layer="17" from-port="0" to-layer="18" to-port="5" />
697
+ <edge from-layer="18" from-port="9" to-layer="20" to-port="3" />
698
+ <edge from-layer="18" from-port="11" to-layer="20" to-port="5" />
699
+ <edge from-layer="18" from-port="10" to-layer="20" to-port="4" />
700
+ <edge from-layer="18" from-port="8" to-layer="20" to-port="2" />
701
+ <edge from-layer="18" from-port="7" to-layer="20" to-port="1" />
702
+ <edge from-layer="18" from-port="6" to-layer="20" to-port="0" />
703
+ <edge from-layer="19" from-port="0" to-layer="20" to-port="6" />
704
+ <edge from-layer="20" from-port="7" to-layer="30" to-port="0" />
705
+ <edge from-layer="20" from-port="8" to-layer="30" to-port="1" />
706
+ <edge from-layer="20" from-port="9" to-layer="30" to-port="2" />
707
+ <edge from-layer="20" from-port="10" to-layer="30" to-port="3" />
708
+ <edge from-layer="20" from-port="11" to-layer="30" to-port="4" />
709
+ <edge from-layer="21" from-port="0" to-layer="22" to-port="0" />
710
+ <edge from-layer="22" from-port="3" to-layer="30" to-port="7" />
711
+ <edge from-layer="22" from-port="1" to-layer="30" to-port="5" />
712
+ <edge from-layer="22" from-port="2" to-layer="30" to-port="6" />
713
+ <edge from-layer="23" from-port="0" to-layer="24" to-port="0" />
714
+ <edge from-layer="24" from-port="1" to-layer="30" to-port="8" />
715
+ <edge from-layer="24" from-port="2" to-layer="30" to-port="9" />
716
+ <edge from-layer="24" from-port="3" to-layer="30" to-port="10" />
717
+ <edge from-layer="25" from-port="0" to-layer="26" to-port="0" />
718
+ <edge from-layer="26" from-port="3" to-layer="30" to-port="13" />
719
+ <edge from-layer="26" from-port="1" to-layer="30" to-port="11" />
720
+ <edge from-layer="26" from-port="2" to-layer="30" to-port="12" />
721
+ <edge from-layer="27" from-port="0" to-layer="28" to-port="0" />
722
+ <edge from-layer="28" from-port="1" to-layer="30" to-port="14" />
723
+ <edge from-layer="28" from-port="2" to-layer="30" to-port="15" />
724
+ <edge from-layer="28" from-port="3" to-layer="30" to-port="16" />
725
+ <edge from-layer="29" from-port="0" to-layer="30" to-port="17" />
726
+ <edge from-layer="30" from-port="20" to-layer="36" to-port="5" />
727
+ <edge from-layer="30" from-port="19" to-layer="36" to-port="4" />
728
+ <edge from-layer="30" from-port="19" to-layer="34" to-port="0" />
729
+ <edge from-layer="30" from-port="18" to-layer="31" to-port="1" />
730
+ <edge from-layer="30" from-port="19" to-layer="31" to-port="0" />
731
+ <edge from-layer="31" from-port="2" to-layer="33" to-port="0" />
732
+ <edge from-layer="32" from-port="0" to-layer="33" to-port="1" />
733
+ <edge from-layer="33" from-port="2" to-layer="34" to-port="1" />
734
+ <edge from-layer="34" from-port="2" to-layer="36" to-port="3" />
735
+ <edge from-layer="35" from-port="0" to-layer="36" to-port="6" />
736
+ <edge from-layer="36" from-port="8" to-layer="37" to-port="0" />
737
+ <edge from-layer="36" from-port="7" to-layer="37" to-port="1" />
738
+ <edge from-layer="36" from-port="7" to-layer="41" to-port="0" />
739
+ <edge from-layer="36" from-port="8" to-layer="41" to-port="1" />
740
+ <edge from-layer="36" from-port="9" to-layer="41" to-port="2" />
741
+ <edge from-layer="37" from-port="2" to-layer="39" to-port="0" />
742
+ <edge from-layer="38" from-port="0" to-layer="39" to-port="1" />
743
+ <edge from-layer="39" from-port="2" to-layer="41" to-port="3" />
744
+ <edge from-layer="40" from-port="0" to-layer="41" to-port="4" />
745
+ <edge from-layer="41" from-port="6" to-layer="42" to-port="0" />
746
+ <edge from-layer="41" from-port="5" to-layer="45" to-port="0" />
747
+ <edge from-layer="42" from-port="1" to-layer="43" to-port="0" />
748
+ <edge from-layer="43" from-port="1" to-layer="44" to-port="0" />
749
+ <edge from-layer="45" from-port="1" to-layer="46" to-port="0" />
750
+ </edges>
751
+ <rt_info>
752
+ <add_attention_mask value="True" />
753
+ <add_prefix_space />
754
+ <add_special_tokens value="True" />
755
+ <bos_token_id value="128000" />
756
+ <chat_template value="{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'&lt;|im_start|>' + message['role'] + '&#10;' + message['content'] + '&lt;|im_end|>' + '&#10;'}}{% endfor %}{% if add_generation_prompt %}{{ '&lt;|im_start|>assistant&#10;' }}{% endif %}" />
757
+ <clean_up_tokenization_spaces />
758
+ <detokenizer_input_type value="i64" />
759
+ <eos_token_id value="128039" />
760
+ <handle_special_tokens_with_re />
761
+ <number_of_inputs value="1" />
762
+ <openvino_tokenizers_version value="2025.0.0.0" />
763
+ <openvino_version value="2025.0.0" />
764
+ <original_tokenizer_class value="&lt;class 'transformers.tokenization_utils_fast.PreTrainedTokenizerFast'>" />
765
+ <pad_token_id value="128001" />
766
+ <sentencepiece_version value="0.2.0" />
767
+ <skip_special_tokens value="True" />
768
+ <streaming_detokenizer value="False" />
769
+ <tokenizer_output_type value="i64" />
770
+ <tokenizers_version value="0.21.0" />
771
+ <transformers_version value="4.49.0" />
772
+ <use_max_padding value="False" />
773
+ <use_sentencepiece_backend value="False" />
774
+ <utf8_replace_mode value="replace" />
775
+ <with_detokenizer value="True" />
776
+ </rt_info>
777
+ </net>
tokenizer_config.json CHANGED
@@ -2053,11 +2053,12 @@
2053
  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
2054
  "clean_up_tokenization_spaces": true,
2055
  "eos_token": "<|im_end|>",
 
2056
  "model_input_names": [
2057
  "input_ids",
2058
  "attention_mask"
2059
  ],
2060
  "model_max_length": 131072,
2061
  "pad_token": "<|end_of_text|>",
2062
- "tokenizer_class": "PreTrainedTokenizerFast"
2063
  }
 
2053
  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
2054
  "clean_up_tokenization_spaces": true,
2055
  "eos_token": "<|im_end|>",
2056
+ "extra_special_tokens": {},
2057
  "model_input_names": [
2058
  "input_ids",
2059
  "attention_mask"
2060
  ],
2061
  "model_max_length": 131072,
2062
  "pad_token": "<|end_of_text|>",
2063
+ "tokenizer_class": "PreTrainedTokenizer"
2064
  }