Upload folder using huggingface_hub
Browse files- README.md +103 -0
- config.json +27 -0
- generation_config.json +6 -0
- openvino_detokenizer.bin +3 -0
- openvino_detokenizer.xml +352 -0
- openvino_model.bin +3 -0
- openvino_model.xml +0 -0
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +822 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +45 -0
README.md
ADDED
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| 1 |
+
---
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| 2 |
+
license: apache-2.0
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| 3 |
+
license_link: https://choosealicense.com/licenses/apache-2.0/
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| 4 |
+
base_model:
|
| 5 |
+
- mistralai/Mistral-7B-Instruct-v0.2
|
| 6 |
+
base_model_relation: quantized
|
| 7 |
+
---
|
| 8 |
+
# Mistral-7B-Instruct-v0.2-int4-ov-cw
|
| 9 |
+
* Model creator: [Mistral AI](https://huggingface.co/mistralai)
|
| 10 |
+
* Original model: [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
|
| 11 |
+
|
| 12 |
+
## Description
|
| 13 |
+
|
| 14 |
+
This is [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2024/documentation/openvino-ir-format.html) (Intermediate Representation) format.
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Quantization Parameters
|
| 18 |
+
|
| 19 |
+
Weight compression was performed using `nncf.compress_weights` with the following parameters:
|
| 20 |
+
|
| 21 |
+
* mode: **INT4_SYM_CW**
|
| 22 |
+
* ratio: **1.0**
|
| 23 |
+
|
| 24 |
+
For more information on quantization, check the [OpenVINO model optimization guide](https://docs.openvino.ai/2025/openvino-workflow/model-optimization-guide/weight-compression.html).
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
## Compatibility
|
| 28 |
+
|
| 29 |
+
The provided OpenVINO™ IR model is compatible with:
|
| 30 |
+
|
| 31 |
+
* OpenVINO version 2025.1.0 and higher
|
| 32 |
+
* Optimum Intel 1.23.0 and higher
|
| 33 |
+
|
| 34 |
+
## Running Model Inference with [Optimum Intel](https://huggingface.co/docs/optimum/intel/index)
|
| 35 |
+
|
| 36 |
+
|
| 37 |
+
1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
|
| 38 |
+
|
| 39 |
+
```
|
| 40 |
+
pip install optimum[openvino]
|
| 41 |
+
```
|
| 42 |
+
|
| 43 |
+
2. Run model inference:
|
| 44 |
+
|
| 45 |
+
```
|
| 46 |
+
from transformers import AutoTokenizer
|
| 47 |
+
from optimum.intel.openvino import OVModelForCausalLM
|
| 48 |
+
|
| 49 |
+
model_id = "OpenVINO/Mistral-7B-Instruct-v0.2-int4-ov-cw"
|
| 50 |
+
tokenizer = AutoTokenizer.from_pretrained(model_id)
|
| 51 |
+
model = OVModelForCausalLM.from_pretrained(model_id)
|
| 52 |
+
|
| 53 |
+
inputs = tokenizer("What is OpenVINO?", return_tensors="pt")
|
| 54 |
+
|
| 55 |
+
outputs = model.generate(**inputs, max_length=200)
|
| 56 |
+
text = tokenizer.batch_decode(outputs)[0]
|
| 57 |
+
print(text)
|
| 58 |
+
```
|
| 59 |
+
|
| 60 |
+
For more examples and possible optimizations, refer to the [OpenVINO Large Language Model Inference Guide](https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide.html).
|
| 61 |
+
|
| 62 |
+
## Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)
|
| 63 |
+
|
| 64 |
+
1. Install packages required for using OpenVINO GenAI.
|
| 65 |
+
```
|
| 66 |
+
pip install openvino-genai huggingface_hub
|
| 67 |
+
```
|
| 68 |
+
|
| 69 |
+
2. Download model from HuggingFace Hub
|
| 70 |
+
|
| 71 |
+
```
|
| 72 |
+
import huggingface_hub as hf_hub
|
| 73 |
+
|
| 74 |
+
model_id = "OpenVINO/Mistral-7B-Instruct-v0.2-int4-ov-cw"
|
| 75 |
+
model_path = "Mistral-7B-Instruct-v0.2-int4-ov-cw"
|
| 76 |
+
|
| 77 |
+
hf_hub.snapshot_download(model_id, local_dir=model_path)
|
| 78 |
+
|
| 79 |
+
```
|
| 80 |
+
|
| 81 |
+
3. Run model inference:
|
| 82 |
+
|
| 83 |
+
```
|
| 84 |
+
import openvino_genai as ov_genai
|
| 85 |
+
|
| 86 |
+
device = "CPU"
|
| 87 |
+
pipe = ov_genai.LLMPipeline(model_path, device)
|
| 88 |
+
print(pipe.generate("What is OpenVINO?", max_length=200))
|
| 89 |
+
```
|
| 90 |
+
|
| 91 |
+
More GenAI usage examples can be found in OpenVINO GenAI library [docs](https://github.com/openvinotoolkit/openvino.genai/blob/master/src/README.md) and [samples](https://github.com/openvinotoolkit/openvino.genai?tab=readme-ov-file#openvino-genai-samples)
|
| 92 |
+
|
| 93 |
+
## Limitations
|
| 94 |
+
|
| 95 |
+
Check the original model card for [limitations](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2#limitations).
|
| 96 |
+
|
| 97 |
+
## Legal information
|
| 98 |
+
|
| 99 |
+
The original model is distributed under [apache-2.0](https://choosealicense.com/licenses/apache-2.0/) license. More details can be found in [original model card](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
|
| 100 |
+
|
| 101 |
+
## Disclaimer
|
| 102 |
+
|
| 103 |
+
Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See [Intel’s Global Human Rights Principles](https://www.intel.com/content/dam/www/central-libraries/us/en/documents/policy-human-rights.pdf). Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.
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config.json
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{
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| 2 |
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"_attn_implementation_autoset": true,
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| 3 |
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"architectures": [
|
| 4 |
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"MistralForCausalLM"
|
| 5 |
+
],
|
| 6 |
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"attention_dropout": 0.0,
|
| 7 |
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"bos_token_id": 1,
|
| 8 |
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"eos_token_id": 2,
|
| 9 |
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"head_dim": 128,
|
| 10 |
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"hidden_act": "silu",
|
| 11 |
+
"hidden_size": 4096,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
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"intermediate_size": 14336,
|
| 14 |
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"max_position_embeddings": 32768,
|
| 15 |
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"model_type": "mistral",
|
| 16 |
+
"num_attention_heads": 32,
|
| 17 |
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"num_hidden_layers": 32,
|
| 18 |
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"num_key_value_heads": 8,
|
| 19 |
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"rms_norm_eps": 1e-05,
|
| 20 |
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"rope_theta": 1000000.0,
|
| 21 |
+
"sliding_window": null,
|
| 22 |
+
"tie_word_embeddings": false,
|
| 23 |
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"torch_dtype": "bfloat16",
|
| 24 |
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"transformers_version": "4.51.3",
|
| 25 |
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"use_cache": true,
|
| 26 |
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"vocab_size": 32000
|
| 27 |
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}
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generation_config.json
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{
|
| 2 |
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"_from_model_config": true,
|
| 3 |
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"bos_token_id": 1,
|
| 4 |
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"eos_token_id": 2,
|
| 5 |
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"transformers_version": "4.51.3"
|
| 6 |
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}
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openvino_detokenizer.bin
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:6567a2f7080b81e17d46589e10b95af939b5f1eb5256827edb03298767229e4d
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| 3 |
+
size 460689
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openvino_detokenizer.xml
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| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<net name="detokenizer" version="11">
|
| 3 |
+
<layers>
|
| 4 |
+
<layer id="0" name="Parameter_102301" type="Parameter" version="opset1">
|
| 5 |
+
<data shape="?,?" element_type="i64" />
|
| 6 |
+
<output>
|
| 7 |
+
<port id="0" precision="I64" names="Parameter_102301">
|
| 8 |
+
<dim>-1</dim>
|
| 9 |
+
<dim>-1</dim>
|
| 10 |
+
</port>
|
| 11 |
+
</output>
|
| 12 |
+
</layer>
|
| 13 |
+
<layer id="1" name="Convert_102496" type="Convert" version="opset1">
|
| 14 |
+
<data destination_type="i32" />
|
| 15 |
+
<input>
|
| 16 |
+
<port id="0" precision="I64">
|
| 17 |
+
<dim>-1</dim>
|
| 18 |
+
<dim>-1</dim>
|
| 19 |
+
</port>
|
| 20 |
+
</input>
|
| 21 |
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<output>
|
| 22 |
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<port id="1" precision="I32">
|
| 23 |
+
<dim>-1</dim>
|
| 24 |
+
<dim>-1</dim>
|
| 25 |
+
</port>
|
| 26 |
+
</output>
|
| 27 |
+
</layer>
|
| 28 |
+
<layer id="2" name="Constant_102254" type="Const" version="opset1">
|
| 29 |
+
<data element_type="i32" shape="32000" offset="0" size="128000" />
|
| 30 |
+
<output>
|
| 31 |
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<port id="0" precision="I32">
|
| 32 |
+
<dim>32000</dim>
|
| 33 |
+
</port>
|
| 34 |
+
</output>
|
| 35 |
+
</layer>
|
| 36 |
+
<layer id="3" name="Constant_102256" type="Const" version="opset1">
|
| 37 |
+
<data element_type="i32" shape="32000" offset="128000" size="128000" />
|
| 38 |
+
<output>
|
| 39 |
+
<port id="0" precision="I32">
|
| 40 |
+
<dim>32000</dim>
|
| 41 |
+
</port>
|
| 42 |
+
</output>
|
| 43 |
+
</layer>
|
| 44 |
+
<layer id="4" name="Constant_102258" type="Const" version="opset1">
|
| 45 |
+
<data element_type="u8" shape="204670" offset="256000" size="204670" />
|
| 46 |
+
<output>
|
| 47 |
+
<port id="0" precision="U8">
|
| 48 |
+
<dim>204670</dim>
|
| 49 |
+
</port>
|
| 50 |
+
</output>
|
| 51 |
+
</layer>
|
| 52 |
+
<layer id="5" name="Slice_102306" type="Const" version="opset1">
|
| 53 |
+
<data element_type="i32" shape="3" offset="460670" size="12" />
|
| 54 |
+
<output>
|
| 55 |
+
<port id="0" precision="I32">
|
| 56 |
+
<dim>3</dim>
|
| 57 |
+
</port>
|
| 58 |
+
</output>
|
| 59 |
+
</layer>
|
| 60 |
+
<layer id="6" name="VocabDecoder_102308" type="VocabDecoder" version="extension">
|
| 61 |
+
<data skip_tokens="" />
|
| 62 |
+
<input>
|
| 63 |
+
<port id="0" precision="I32">
|
| 64 |
+
<dim>-1</dim>
|
| 65 |
+
<dim>-1</dim>
|
| 66 |
+
</port>
|
| 67 |
+
<port id="1" precision="I32">
|
| 68 |
+
<dim>32000</dim>
|
| 69 |
+
</port>
|
| 70 |
+
<port id="2" precision="I32">
|
| 71 |
+
<dim>32000</dim>
|
| 72 |
+
</port>
|
| 73 |
+
<port id="3" precision="U8">
|
| 74 |
+
<dim>204670</dim>
|
| 75 |
+
</port>
|
| 76 |
+
<port id="4" precision="I32">
|
| 77 |
+
<dim>3</dim>
|
| 78 |
+
</port>
|
| 79 |
+
</input>
|
| 80 |
+
<output>
|
| 81 |
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|
| 82 |
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<dim>-1</dim>
|
| 83 |
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|
| 84 |
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|
| 85 |
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<dim>-1</dim>
|
| 86 |
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|
| 87 |
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|
| 88 |
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<dim>-1</dim>
|
| 89 |
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|
| 90 |
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|
| 91 |
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<dim>-1</dim>
|
| 92 |
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|
| 93 |
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<port id="9" precision="U8">
|
| 94 |
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<dim>-1</dim>
|
| 95 |
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</port>
|
| 96 |
+
</output>
|
| 97 |
+
</layer>
|
| 98 |
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<layer id="7" name="Constant_102310" type="Const" version="opset1">
|
| 99 |
+
<data element_type="u8" shape="3" offset="460682" size="3" />
|
| 100 |
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<output>
|
| 101 |
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<port id="0" precision="U8">
|
| 102 |
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<dim>3</dim>
|
| 103 |
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</port>
|
| 104 |
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</output>
|
| 105 |
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</layer>
|
| 106 |
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<layer id="8" name="Constant_102312" type="Const" version="opset1">
|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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</port>
|
| 112 |
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</output>
|
| 113 |
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</layer>
|
| 114 |
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<layer id="9" name="RegexNormalization_102313" type="RegexNormalization" version="extension">
|
| 115 |
+
<data global_replace="true" />
|
| 116 |
+
<input>
|
| 117 |
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|
| 118 |
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|
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|
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|
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|
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|
| 124 |
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|
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|
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
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|
| 135 |
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|
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|
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|
| 139 |
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|
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|
| 141 |
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|
| 142 |
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</port>
|
| 143 |
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</output>
|
| 144 |
+
</layer>
|
| 145 |
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<layer id="10" name="ByteFallback_102314" type="ByteFallback" version="extension">
|
| 146 |
+
<input>
|
| 147 |
+
<port id="0" precision="I32">
|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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</port>
|
| 156 |
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|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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</layer>
|
| 169 |
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|
| 170 |
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|
| 171 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 180 |
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|
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|
| 182 |
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|
| 183 |
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|
| 184 |
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|
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|
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|
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|
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|
| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
+
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|
| 203 |
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|
| 204 |
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|
| 205 |
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|
| 206 |
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</port>
|
| 207 |
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</output>
|
| 208 |
+
</layer>
|
| 209 |
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<layer id="14" name="RegexNormalization_102320" type="RegexNormalization" version="extension">
|
| 210 |
+
<data global_replace="true" />
|
| 211 |
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<input>
|
| 212 |
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<port id="0" precision="I32">
|
| 213 |
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<dim>-1</dim>
|
| 214 |
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</port>
|
| 215 |
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|
| 216 |
+
<dim>-1</dim>
|
| 217 |
+
</port>
|
| 218 |
+
<port id="2" precision="U8">
|
| 219 |
+
<dim>-1</dim>
|
| 220 |
+
</port>
|
| 221 |
+
<port id="3" precision="U8">
|
| 222 |
+
<dim>2</dim>
|
| 223 |
+
</port>
|
| 224 |
+
<port id="4" precision="U8">
|
| 225 |
+
<dim>0</dim>
|
| 226 |
+
</port>
|
| 227 |
+
</input>
|
| 228 |
+
<output>
|
| 229 |
+
<port id="5" precision="I32">
|
| 230 |
+
<dim>-1</dim>
|
| 231 |
+
</port>
|
| 232 |
+
<port id="6" precision="I32">
|
| 233 |
+
<dim>-1</dim>
|
| 234 |
+
</port>
|
| 235 |
+
<port id="7" precision="U8">
|
| 236 |
+
<dim>-1</dim>
|
| 237 |
+
</port>
|
| 238 |
+
</output>
|
| 239 |
+
</layer>
|
| 240 |
+
<layer id="15" name="UTF8Validate_102321" type="UTF8Validate" version="extension">
|
| 241 |
+
<data replace_mode="true" />
|
| 242 |
+
<input>
|
| 243 |
+
<port id="0" precision="I32">
|
| 244 |
+
<dim>-1</dim>
|
| 245 |
+
</port>
|
| 246 |
+
<port id="1" precision="I32">
|
| 247 |
+
<dim>-1</dim>
|
| 248 |
+
</port>
|
| 249 |
+
<port id="2" precision="U8">
|
| 250 |
+
<dim>-1</dim>
|
| 251 |
+
</port>
|
| 252 |
+
</input>
|
| 253 |
+
<output>
|
| 254 |
+
<port id="3" precision="I32">
|
| 255 |
+
<dim>-1</dim>
|
| 256 |
+
</port>
|
| 257 |
+
<port id="4" precision="I32">
|
| 258 |
+
<dim>-1</dim>
|
| 259 |
+
</port>
|
| 260 |
+
<port id="5" precision="U8">
|
| 261 |
+
<dim>-1</dim>
|
| 262 |
+
</port>
|
| 263 |
+
</output>
|
| 264 |
+
</layer>
|
| 265 |
+
<layer id="16" name="StringTensorPack_102322" type="StringTensorPack" version="opset15">
|
| 266 |
+
<input>
|
| 267 |
+
<port id="0" precision="I32">
|
| 268 |
+
<dim>-1</dim>
|
| 269 |
+
</port>
|
| 270 |
+
<port id="1" precision="I32">
|
| 271 |
+
<dim>-1</dim>
|
| 272 |
+
</port>
|
| 273 |
+
<port id="2" precision="U8">
|
| 274 |
+
<dim>-1</dim>
|
| 275 |
+
</port>
|
| 276 |
+
</input>
|
| 277 |
+
<output>
|
| 278 |
+
<port id="3" precision="STRING" names="Result_102323,string_output">
|
| 279 |
+
<dim>-1</dim>
|
| 280 |
+
</port>
|
| 281 |
+
</output>
|
| 282 |
+
</layer>
|
| 283 |
+
<layer id="17" name="Result_102323" type="Result" version="opset1" output_names="Result_102323,string_output">
|
| 284 |
+
<input>
|
| 285 |
+
<port id="0" precision="STRING">
|
| 286 |
+
<dim>-1</dim>
|
| 287 |
+
</port>
|
| 288 |
+
</input>
|
| 289 |
+
</layer>
|
| 290 |
+
</layers>
|
| 291 |
+
<edges>
|
| 292 |
+
<edge from-layer="0" from-port="0" to-layer="1" to-port="0" />
|
| 293 |
+
<edge from-layer="1" from-port="1" to-layer="6" to-port="0" />
|
| 294 |
+
<edge from-layer="2" from-port="0" to-layer="6" to-port="1" />
|
| 295 |
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|
| 296 |
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|
| 297 |
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|
| 298 |
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|
| 299 |
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|
| 300 |
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|
| 301 |
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|
| 302 |
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|
| 303 |
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|
| 304 |
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<edge from-layer="8" from-port="0" to-layer="9" to-port="4" />
|
| 305 |
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|
| 306 |
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|
| 307 |
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|
| 308 |
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|
| 309 |
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|
| 310 |
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|
| 311 |
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|
| 312 |
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|
| 313 |
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|
| 314 |
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|
| 315 |
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|
| 316 |
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|
| 317 |
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|
| 318 |
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|
| 319 |
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|
| 320 |
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|
| 321 |
+
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|
| 322 |
+
</edges>
|
| 323 |
+
<rt_info>
|
| 324 |
+
<add_attention_mask value="True" />
|
| 325 |
+
<add_prefix_space />
|
| 326 |
+
<add_special_tokens value="True" />
|
| 327 |
+
<bos_token_id value="1" />
|
| 328 |
+
<chat_template value="{%- if messages[0]['role'] == 'system' %} {%- set system_message = messages[0]['content'] %} {%- set loop_messages = messages[1:] %} {%- else %} {%- set loop_messages = messages %} {%- endif %} {{- bos_token }} {%- for message in loop_messages %} {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %} {{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }} {%- endif %} {%- if message['role'] == 'user' %} {%- if loop.first and system_message is defined %} {{- ' [INST] ' + system_message + '\n\n' + message['content'] + ' [/INST]' }} {%- else %} {{- ' [INST] ' + message['content'] + ' [/INST]' }} {%- endif %} {%- elif message['role'] == 'assistant' %} {{- ' ' + message['content'] + eos_token}} {%- else %} {{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }} {%- endif %} {%- endfor %} " />
|
| 329 |
+
<clean_up_tokenization_spaces />
|
| 330 |
+
<detokenizer_input_type value="i64" />
|
| 331 |
+
<eos_token_id value="2" />
|
| 332 |
+
<handle_special_tokens_with_re />
|
| 333 |
+
<max_length />
|
| 334 |
+
<number_of_inputs value="1" />
|
| 335 |
+
<openvino_tokenizers_version value="2025.2.0.0-565-130827ab189" />
|
| 336 |
+
<openvino_version value="2025.2.0-19120-87425bc78ca-releases/2025/2" />
|
| 337 |
+
<original_post_processor_template value="{"type": "TemplateProcessing", "single": [{"SpecialToken": {"id": "<s>", "type_id": 0}}, {"Sequence": {"id": "A", "type_id": 0}}], "pair": [{"SpecialToken": {"id": "<s>", "type_id": 0}}, {"Sequence": {"id": "A", "type_id": 0}}, {"SpecialToken": {"id": "<s>", "type_id": 1}}, {"Sequence": {"id": "B", "type_id": 1}}], "special_tokens": {"<s>": {"id": "<s>", "ids": [1], "tokens": ["<s>"]}}}" />
|
| 338 |
+
<original_tokenizer_class value="<class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>" />
|
| 339 |
+
<processed_post_processor_template value="{"single": {"ids": [1, -1], "type_ids": [0, 0]}, "pair": {"ids": [1, -1, 1, -2], "type_ids": [0, 0, 1, 1]}}" />
|
| 340 |
+
<sentencepiece_version value="0.2.0" />
|
| 341 |
+
<skip_special_tokens value="True" />
|
| 342 |
+
<streaming_detokenizer value="False" />
|
| 343 |
+
<tiktoken_version value="0.9.0" />
|
| 344 |
+
<tokenizer_output_type value="i64" />
|
| 345 |
+
<tokenizers_version value="0.21.1" />
|
| 346 |
+
<transformers_version value="4.51.3" />
|
| 347 |
+
<use_max_padding value="False" />
|
| 348 |
+
<use_sentencepiece_backend value="False" />
|
| 349 |
+
<utf8_replace_mode value="replace" />
|
| 350 |
+
<with_detokenizer value="True" />
|
| 351 |
+
</rt_info>
|
| 352 |
+
</net>
|
openvino_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a4bd6e4182ce24e6888b774cdb7fc717be85f522370a2f411ae64b11f5ba67b9
|
| 3 |
+
size 3755814924
|
openvino_model.xml
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
openvino_tokenizer.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:26c4e72eb1a30bc314d83dc7cf9f7cd1d7a6ab89a7a63088e22f9749beada339
|
| 3 |
+
size 1809928
|
openvino_tokenizer.xml
ADDED
|
@@ -0,0 +1,822 @@
|
|
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|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<net name="tokenizer" version="11">
|
| 3 |
+
<layers>
|
| 4 |
+
<layer id="0" name="Parameter_102166" type="Parameter" version="opset1">
|
| 5 |
+
<data shape="?" element_type="string" />
|
| 6 |
+
<output>
|
| 7 |
+
<port id="0" precision="STRING" names="Parameter_102166">
|
| 8 |
+
<dim>-1</dim>
|
| 9 |
+
</port>
|
| 10 |
+
</output>
|
| 11 |
+
</layer>
|
| 12 |
+
<layer id="1" name="Constant_102285" 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_102286" type="Const" version="opset1">
|
| 19 |
+
<data element_type="i32" shape="" offset="4" size="4" />
|
| 20 |
+
<output>
|
| 21 |
+
<port id="0" precision="I32" />
|
| 22 |
+
</output>
|
| 23 |
+
</layer>
|
| 24 |
+
<layer id="3" name="Constant_102287" type="Const" version="opset1">
|
| 25 |
+
<data element_type="i32" shape="1" offset="4" size="4" />
|
| 26 |
+
<output>
|
| 27 |
+
<port id="0" precision="I32">
|
| 28 |
+
<dim>1</dim>
|
| 29 |
+
</port>
|
| 30 |
+
</output>
|
| 31 |
+
</layer>
|
| 32 |
+
<layer id="4" name="Constant_102172" type="Const" version="opset1">
|
| 33 |
+
<data element_type="i64" shape="" offset="8" size="8" />
|
| 34 |
+
<output>
|
| 35 |
+
<port id="0" precision="I64" />
|
| 36 |
+
</output>
|
| 37 |
+
</layer>
|
| 38 |
+
<layer id="5" name="StringTensorUnpack_102167" type="StringTensorUnpack" version="opset15">
|
| 39 |
+
<input>
|
| 40 |
+
<port id="0" precision="STRING">
|
| 41 |
+
<dim>-1</dim>
|
| 42 |
+
</port>
|
| 43 |
+
</input>
|
| 44 |
+
<output>
|
| 45 |
+
<port id="1" precision="I32">
|
| 46 |
+
<dim>-1</dim>
|
| 47 |
+
</port>
|
| 48 |
+
<port id="2" precision="I32">
|
| 49 |
+
<dim>-1</dim>
|
| 50 |
+
</port>
|
| 51 |
+
<port id="3" precision="U8">
|
| 52 |
+
<dim>-1</dim>
|
| 53 |
+
</port>
|
| 54 |
+
</output>
|
| 55 |
+
</layer>
|
| 56 |
+
<layer id="6" name="ShapeOf_102168" type="ShapeOf" version="opset3">
|
| 57 |
+
<data output_type="i64" />
|
| 58 |
+
<input>
|
| 59 |
+
<port id="0" precision="I32">
|
| 60 |
+
<dim>-1</dim>
|
| 61 |
+
</port>
|
| 62 |
+
</input>
|
| 63 |
+
<output>
|
| 64 |
+
<port id="1" precision="I64">
|
| 65 |
+
<dim>1</dim>
|
| 66 |
+
</port>
|
| 67 |
+
</output>
|
| 68 |
+
</layer>
|
| 69 |
+
<layer id="7" name="Constant_102169" type="Const" version="opset1">
|
| 70 |
+
<data element_type="i64" shape="" offset="8" size="8" />
|
| 71 |
+
<output>
|
| 72 |
+
<port id="0" precision="I64" />
|
| 73 |
+
</output>
|
| 74 |
+
</layer>
|
| 75 |
+
<layer id="8" name="Constant_102170" type="Const" version="opset1">
|
| 76 |
+
<data element_type="i64" shape="" offset="8" size="8" />
|
| 77 |
+
<output>
|
| 78 |
+
<port id="0" precision="I64" />
|
| 79 |
+
</output>
|
| 80 |
+
</layer>
|
| 81 |
+
<layer id="9" name="Gather_102171" type="Gather" version="opset8">
|
| 82 |
+
<data batch_dims="0" />
|
| 83 |
+
<input>
|
| 84 |
+
<port id="0" precision="I64">
|
| 85 |
+
<dim>1</dim>
|
| 86 |
+
</port>
|
| 87 |
+
<port id="1" precision="I64" />
|
| 88 |
+
<port id="2" precision="I64" />
|
| 89 |
+
</input>
|
| 90 |
+
<output>
|
| 91 |
+
<port id="3" precision="I64" />
|
| 92 |
+
</output>
|
| 93 |
+
</layer>
|
| 94 |
+
<layer id="10" name="Constant_102173" type="Const" version="opset1">
|
| 95 |
+
<data element_type="i64" shape="" offset="16" size="8" />
|
| 96 |
+
<output>
|
| 97 |
+
<port id="0" precision="I64" />
|
| 98 |
+
</output>
|
| 99 |
+
</layer>
|
| 100 |
+
<layer id="11" name="Range_102174" type="Range" version="opset4">
|
| 101 |
+
<data output_type="i32" />
|
| 102 |
+
<input>
|
| 103 |
+
<port id="0" precision="I64" />
|
| 104 |
+
<port id="1" precision="I64" />
|
| 105 |
+
<port id="2" precision="I64" />
|
| 106 |
+
</input>
|
| 107 |
+
<output>
|
| 108 |
+
<port id="3" precision="I32">
|
| 109 |
+
<dim>-1</dim>
|
| 110 |
+
</port>
|
| 111 |
+
</output>
|
| 112 |
+
</layer>
|
| 113 |
+
<layer id="12" name="Constant_102175" type="Const" version="opset1">
|
| 114 |
+
<data element_type="i64" shape="" offset="16" size="8" />
|
| 115 |
+
<output>
|
| 116 |
+
<port id="0" precision="I64" />
|
| 117 |
+
</output>
|
| 118 |
+
</layer>
|
| 119 |
+
<layer id="13" name="Constant_102176" type="Const" version="opset1">
|
| 120 |
+
<data element_type="i64" shape="" offset="16" size="8" />
|
| 121 |
+
<output>
|
| 122 |
+
<port id="0" precision="I64" />
|
| 123 |
+
</output>
|
| 124 |
+
</layer>
|
| 125 |
+
<layer id="14" name="Add_102177" type="Add" version="opset1">
|
| 126 |
+
<data auto_broadcast="numpy" />
|
| 127 |
+
<input>
|
| 128 |
+
<port id="0" precision="I64" />
|
| 129 |
+
<port id="1" precision="I64" />
|
| 130 |
+
</input>
|
| 131 |
+
<output>
|
| 132 |
+
<port id="2" precision="I64" />
|
| 133 |
+
</output>
|
| 134 |
+
</layer>
|
| 135 |
+
<layer id="15" name="Constant_102178" type="Const" version="opset1">
|
| 136 |
+
<data element_type="i64" shape="" offset="16" size="8" />
|
| 137 |
+
<output>
|
| 138 |
+
<port id="0" precision="I64" />
|
| 139 |
+
</output>
|
| 140 |
+
</layer>
|
| 141 |
+
<layer id="16" name="Range_102179" type="Range" version="opset4">
|
| 142 |
+
<data output_type="i32" />
|
| 143 |
+
<input>
|
| 144 |
+
<port id="0" precision="I64" />
|
| 145 |
+
<port id="1" precision="I64" />
|
| 146 |
+
<port id="2" precision="I64" />
|
| 147 |
+
</input>
|
| 148 |
+
<output>
|
| 149 |
+
<port id="3" precision="I32">
|
| 150 |
+
<dim>-1</dim>
|
| 151 |
+
</port>
|
| 152 |
+
</output>
|
| 153 |
+
</layer>
|
| 154 |
+
<layer id="17" name="Constant_102241" type="Const" version="opset1">
|
| 155 |
+
<data element_type="u8" shape="27" offset="24" size="27" />
|
| 156 |
+
<output>
|
| 157 |
+
<port id="0" precision="U8">
|
| 158 |
+
<dim>27</dim>
|
| 159 |
+
</port>
|
| 160 |
+
</output>
|
| 161 |
+
</layer>
|
| 162 |
+
<layer id="18" name="SpecialTokensSplit_102242" type="SpecialTokensSplit" version="extension">
|
| 163 |
+
<input>
|
| 164 |
+
<port id="0" precision="I32">
|
| 165 |
+
<dim>-1</dim>
|
| 166 |
+
</port>
|
| 167 |
+
<port id="1" precision="I32">
|
| 168 |
+
<dim>-1</dim>
|
| 169 |
+
</port>
|
| 170 |
+
<port id="2" precision="I32">
|
| 171 |
+
<dim>-1</dim>
|
| 172 |
+
</port>
|
| 173 |
+
<port id="3" precision="I32">
|
| 174 |
+
<dim>-1</dim>
|
| 175 |
+
</port>
|
| 176 |
+
<port id="4" precision="U8">
|
| 177 |
+
<dim>-1</dim>
|
| 178 |
+
</port>
|
| 179 |
+
<port id="5" precision="U8">
|
| 180 |
+
<dim>27</dim>
|
| 181 |
+
</port>
|
| 182 |
+
</input>
|
| 183 |
+
<output>
|
| 184 |
+
<port id="6" precision="I32">
|
| 185 |
+
<dim>-1</dim>
|
| 186 |
+
</port>
|
| 187 |
+
<port id="7" precision="I32">
|
| 188 |
+
<dim>-1</dim>
|
| 189 |
+
</port>
|
| 190 |
+
<port id="8" precision="I32">
|
| 191 |
+
<dim>-1</dim>
|
| 192 |
+
</port>
|
| 193 |
+
<port id="9" precision="I32">
|
| 194 |
+
<dim>-1</dim>
|
| 195 |
+
</port>
|
| 196 |
+
<port id="10" precision="U8">
|
| 197 |
+
<dim>-1</dim>
|
| 198 |
+
</port>
|
| 199 |
+
<port id="11" precision="BOOL">
|
| 200 |
+
<dim>-1</dim>
|
| 201 |
+
</port>
|
| 202 |
+
</output>
|
| 203 |
+
</layer>
|
| 204 |
+
<layer id="19" name="Constant_102244" type="Const" version="opset1">
|
| 205 |
+
<data element_type="u8" shape="1" offset="51" size="1" />
|
| 206 |
+
<output>
|
| 207 |
+
<port id="0" precision="U8">
|
| 208 |
+
<dim>1</dim>
|
| 209 |
+
</port>
|
| 210 |
+
</output>
|
| 211 |
+
</layer>
|
| 212 |
+
<layer id="20" name="Constant_102246" type="Const" version="opset1">
|
| 213 |
+
<data element_type="u8" shape="3" offset="52" size="3" />
|
| 214 |
+
<output>
|
| 215 |
+
<port id="0" precision="U8">
|
| 216 |
+
<dim>3</dim>
|
| 217 |
+
</port>
|
| 218 |
+
</output>
|
| 219 |
+
</layer>
|
| 220 |
+
<layer id="21" name="RegexNormalization_102247" type="RegexNormalization" version="extension">
|
| 221 |
+
<data global_replace="true" />
|
| 222 |
+
<input>
|
| 223 |
+
<port id="0" precision="I32">
|
| 224 |
+
<dim>-1</dim>
|
| 225 |
+
</port>
|
| 226 |
+
<port id="1" precision="I32">
|
| 227 |
+
<dim>-1</dim>
|
| 228 |
+
</port>
|
| 229 |
+
<port id="2" precision="U8">
|
| 230 |
+
<dim>-1</dim>
|
| 231 |
+
</port>
|
| 232 |
+
<port id="3" precision="BOOL">
|
| 233 |
+
<dim>-1</dim>
|
| 234 |
+
</port>
|
| 235 |
+
<port id="4" precision="U8">
|
| 236 |
+
<dim>1</dim>
|
| 237 |
+
</port>
|
| 238 |
+
<port id="5" precision="U8">
|
| 239 |
+
<dim>3</dim>
|
| 240 |
+
</port>
|
| 241 |
+
</input>
|
| 242 |
+
<output>
|
| 243 |
+
<port id="6" precision="I32">
|
| 244 |
+
<dim>-1</dim>
|
| 245 |
+
</port>
|
| 246 |
+
<port id="7" precision="I32">
|
| 247 |
+
<dim>-1</dim>
|
| 248 |
+
</port>
|
| 249 |
+
<port id="8" precision="U8">
|
| 250 |
+
<dim>-1</dim>
|
| 251 |
+
</port>
|
| 252 |
+
<port id="9" precision="BOOL">
|
| 253 |
+
<dim>-1</dim>
|
| 254 |
+
</port>
|
| 255 |
+
</output>
|
| 256 |
+
</layer>
|
| 257 |
+
<layer id="22" name="Constant_102249" type="Const" version="opset1">
|
| 258 |
+
<data element_type="u8" shape="11" offset="55" size="11" />
|
| 259 |
+
<output>
|
| 260 |
+
<port id="0" precision="U8">
|
| 261 |
+
<dim>11</dim>
|
| 262 |
+
</port>
|
| 263 |
+
</output>
|
| 264 |
+
</layer>
|
| 265 |
+
<layer id="23" name="Constant_102251" type="Const" version="opset1">
|
| 266 |
+
<data element_type="u8" shape="5" offset="66" size="5" />
|
| 267 |
+
<output>
|
| 268 |
+
<port id="0" precision="U8">
|
| 269 |
+
<dim>5</dim>
|
| 270 |
+
</port>
|
| 271 |
+
</output>
|
| 272 |
+
</layer>
|
| 273 |
+
<layer id="24" name="RegexNormalization_102252" type="RegexNormalization" version="extension">
|
| 274 |
+
<data global_replace="true" />
|
| 275 |
+
<input>
|
| 276 |
+
<port id="0" precision="I32">
|
| 277 |
+
<dim>-1</dim>
|
| 278 |
+
</port>
|
| 279 |
+
<port id="1" precision="I32">
|
| 280 |
+
<dim>-1</dim>
|
| 281 |
+
</port>
|
| 282 |
+
<port id="2" precision="U8">
|
| 283 |
+
<dim>-1</dim>
|
| 284 |
+
</port>
|
| 285 |
+
<port id="3" precision="BOOL">
|
| 286 |
+
<dim>-1</dim>
|
| 287 |
+
</port>
|
| 288 |
+
<port id="4" precision="U8">
|
| 289 |
+
<dim>11</dim>
|
| 290 |
+
</port>
|
| 291 |
+
<port id="5" precision="U8">
|
| 292 |
+
<dim>5</dim>
|
| 293 |
+
</port>
|
| 294 |
+
</input>
|
| 295 |
+
<output>
|
| 296 |
+
<port id="6" precision="I32">
|
| 297 |
+
<dim>-1</dim>
|
| 298 |
+
</port>
|
| 299 |
+
<port id="7" precision="I32">
|
| 300 |
+
<dim>-1</dim>
|
| 301 |
+
</port>
|
| 302 |
+
<port id="8" precision="U8">
|
| 303 |
+
<dim>-1</dim>
|
| 304 |
+
</port>
|
| 305 |
+
<port id="9" precision="BOOL">
|
| 306 |
+
<dim>-1</dim>
|
| 307 |
+
</port>
|
| 308 |
+
</output>
|
| 309 |
+
</layer>
|
| 310 |
+
<layer id="25" name="Constant_102254" type="Const" version="opset1">
|
| 311 |
+
<data element_type="i32" shape="32000" offset="71" size="128000" />
|
| 312 |
+
<output>
|
| 313 |
+
<port id="0" precision="I32">
|
| 314 |
+
<dim>32000</dim>
|
| 315 |
+
</port>
|
| 316 |
+
</output>
|
| 317 |
+
</layer>
|
| 318 |
+
<layer id="26" name="Constant_102256" type="Const" version="opset1">
|
| 319 |
+
<data element_type="i32" shape="32000" offset="128071" size="128000" />
|
| 320 |
+
<output>
|
| 321 |
+
<port id="0" precision="I32">
|
| 322 |
+
<dim>32000</dim>
|
| 323 |
+
</port>
|
| 324 |
+
</output>
|
| 325 |
+
</layer>
|
| 326 |
+
<layer id="27" name="Constant_102258" type="Const" version="opset1">
|
| 327 |
+
<data element_type="u8" shape="204670" offset="256071" size="204670" />
|
| 328 |
+
<output>
|
| 329 |
+
<port id="0" precision="U8">
|
| 330 |
+
<dim>204670</dim>
|
| 331 |
+
</port>
|
| 332 |
+
</output>
|
| 333 |
+
</layer>
|
| 334 |
+
<layer id="28" name="Constant_102266" type="Const" version="opset1">
|
| 335 |
+
<data element_type="i32" shape="58980" offset="460741" size="235920" />
|
| 336 |
+
<output>
|
| 337 |
+
<port id="0" precision="I32">
|
| 338 |
+
<dim>58980</dim>
|
| 339 |
+
</port>
|
| 340 |
+
</output>
|
| 341 |
+
</layer>
|
| 342 |
+
<layer id="29" name="Constant_102268" type="Const" version="opset1">
|
| 343 |
+
<data element_type="i32" shape="58980" offset="696661" size="235920" />
|
| 344 |
+
<output>
|
| 345 |
+
<port id="0" precision="I32">
|
| 346 |
+
<dim>58980</dim>
|
| 347 |
+
</port>
|
| 348 |
+
</output>
|
| 349 |
+
</layer>
|
| 350 |
+
<layer id="30" name="Constant_102270" type="Const" version="opset1">
|
| 351 |
+
<data element_type="u8" shape="243852" offset="932581" size="243852" />
|
| 352 |
+
<output>
|
| 353 |
+
<port id="0" precision="U8">
|
| 354 |
+
<dim>243852</dim>
|
| 355 |
+
</port>
|
| 356 |
+
</output>
|
| 357 |
+
</layer>
|
| 358 |
+
<layer id="31" name="Constant_102272" type="Const" version="opset1">
|
| 359 |
+
<data element_type="i32" shape="58980" offset="1176433" size="235920" />
|
| 360 |
+
<output>
|
| 361 |
+
<port id="0" precision="I32">
|
| 362 |
+
<dim>58980</dim>
|
| 363 |
+
</port>
|
| 364 |
+
</output>
|
| 365 |
+
</layer>
|
| 366 |
+
<layer id="32" name="Constant_102274" type="Const" version="opset1">
|
| 367 |
+
<data element_type="i32" shape="58980" offset="1412353" size="235920" />
|
| 368 |
+
<output>
|
| 369 |
+
<port id="0" precision="I32">
|
| 370 |
+
<dim>58980</dim>
|
| 371 |
+
</port>
|
| 372 |
+
</output>
|
| 373 |
+
</layer>
|
| 374 |
+
<layer id="33" name="Constant_102276" type="Const" version="opset1">
|
| 375 |
+
<data element_type="u8" shape="161603" offset="1648273" size="161603" />
|
| 376 |
+
<output>
|
| 377 |
+
<port id="0" precision="U8">
|
| 378 |
+
<dim>161603</dim>
|
| 379 |
+
</port>
|
| 380 |
+
</output>
|
| 381 |
+
</layer>
|
| 382 |
+
<layer id="34" name="Constant_102260" type="Const" version="opset1">
|
| 383 |
+
<data element_type="i32" shape="2" offset="1809876" size="8" />
|
| 384 |
+
<output>
|
| 385 |
+
<port id="0" precision="I32">
|
| 386 |
+
<dim>2</dim>
|
| 387 |
+
</port>
|
| 388 |
+
</output>
|
| 389 |
+
</layer>
|
| 390 |
+
<layer id="35" name="Constant_102262" type="Const" version="opset1">
|
| 391 |
+
<data element_type="i32" shape="2" offset="1809884" size="8" />
|
| 392 |
+
<output>
|
| 393 |
+
<port id="0" precision="I32">
|
| 394 |
+
<dim>2</dim>
|
| 395 |
+
</port>
|
| 396 |
+
</output>
|
| 397 |
+
</layer>
|
| 398 |
+
<layer id="36" name="Constant_102264" type="Const" version="opset1">
|
| 399 |
+
<data element_type="u8" shape="7" offset="1809892" size="7" />
|
| 400 |
+
<output>
|
| 401 |
+
<port id="0" precision="U8">
|
| 402 |
+
<dim>7</dim>
|
| 403 |
+
</port>
|
| 404 |
+
</output>
|
| 405 |
+
</layer>
|
| 406 |
+
<layer id="37" name="Constant_102277" type="Const" version="opset1">
|
| 407 |
+
<data element_type="i32" shape="2" offset="1809899" size="8" />
|
| 408 |
+
<output>
|
| 409 |
+
<port id="0" precision="I32">
|
| 410 |
+
<dim>2</dim>
|
| 411 |
+
</port>
|
| 412 |
+
</output>
|
| 413 |
+
</layer>
|
| 414 |
+
<layer id="38" name="BPETokenizer_102278" type="BPETokenizer" version="extension">
|
| 415 |
+
<data unk_token="<unk>" fuse_unk="true" suffix_indicator="" end_suffix="" byte_fallback="true" cache_capacity="20000" />
|
| 416 |
+
<input>
|
| 417 |
+
<port id="0" precision="I32">
|
| 418 |
+
<dim>-1</dim>
|
| 419 |
+
</port>
|
| 420 |
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|
| 421 |
+
<dim>-1</dim>
|
| 422 |
+
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|
| 423 |
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|
| 424 |
+
<dim>-1</dim>
|
| 425 |
+
</port>
|
| 426 |
+
<port id="3" precision="I32">
|
| 427 |
+
<dim>-1</dim>
|
| 428 |
+
</port>
|
| 429 |
+
<port id="4" precision="U8">
|
| 430 |
+
<dim>-1</dim>
|
| 431 |
+
</port>
|
| 432 |
+
<port id="5" precision="I32">
|
| 433 |
+
<dim>32000</dim>
|
| 434 |
+
</port>
|
| 435 |
+
<port id="6" precision="I32">
|
| 436 |
+
<dim>32000</dim>
|
| 437 |
+
</port>
|
| 438 |
+
<port id="7" precision="U8">
|
| 439 |
+
<dim>204670</dim>
|
| 440 |
+
</port>
|
| 441 |
+
<port id="8" precision="I32">
|
| 442 |
+
<dim>58980</dim>
|
| 443 |
+
</port>
|
| 444 |
+
<port id="9" precision="I32">
|
| 445 |
+
<dim>58980</dim>
|
| 446 |
+
</port>
|
| 447 |
+
<port id="10" precision="U8">
|
| 448 |
+
<dim>243852</dim>
|
| 449 |
+
</port>
|
| 450 |
+
<port id="11" precision="I32">
|
| 451 |
+
<dim>58980</dim>
|
| 452 |
+
</port>
|
| 453 |
+
<port id="12" precision="I32">
|
| 454 |
+
<dim>58980</dim>
|
| 455 |
+
</port>
|
| 456 |
+
<port id="13" precision="U8">
|
| 457 |
+
<dim>161603</dim>
|
| 458 |
+
</port>
|
| 459 |
+
<port id="14" precision="I32">
|
| 460 |
+
<dim>2</dim>
|
| 461 |
+
</port>
|
| 462 |
+
<port id="15" precision="I32">
|
| 463 |
+
<dim>2</dim>
|
| 464 |
+
</port>
|
| 465 |
+
<port id="16" precision="U8">
|
| 466 |
+
<dim>7</dim>
|
| 467 |
+
</port>
|
| 468 |
+
<port id="17" precision="I32">
|
| 469 |
+
<dim>2</dim>
|
| 470 |
+
</port>
|
| 471 |
+
</input>
|
| 472 |
+
<output>
|
| 473 |
+
<port id="18" precision="I32">
|
| 474 |
+
<dim>-1</dim>
|
| 475 |
+
</port>
|
| 476 |
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<port id="19" precision="I32">
|
| 477 |
+
<dim>-1</dim>
|
| 478 |
+
</port>
|
| 479 |
+
<port id="20" precision="I32">
|
| 480 |
+
<dim>-1</dim>
|
| 481 |
+
</port>
|
| 482 |
+
</output>
|
| 483 |
+
</layer>
|
| 484 |
+
<layer id="39" name="Constant_102279" type="Const" version="opset1">
|
| 485 |
+
<data element_type="i32" shape="" offset="1809907" size="4" />
|
| 486 |
+
<output>
|
| 487 |
+
<port id="0" precision="I32" />
|
| 488 |
+
</output>
|
| 489 |
+
</layer>
|
| 490 |
+
<layer id="40" name="Constant_102281" type="Const" version="opset1">
|
| 491 |
+
<data element_type="u8" shape="4" offset="1809911" size="4" />
|
| 492 |
+
<output>
|
| 493 |
+
<port id="0" precision="U8">
|
| 494 |
+
<dim>4</dim>
|
| 495 |
+
</port>
|
| 496 |
+
</output>
|
| 497 |
+
</layer>
|
| 498 |
+
<layer id="41" name="Constant_102283" type="Const" version="opset1">
|
| 499 |
+
<data element_type="u8" shape="13" offset="1809915" size="13" />
|
| 500 |
+
<output>
|
| 501 |
+
<port id="0" precision="U8">
|
| 502 |
+
<dim>13</dim>
|
| 503 |
+
</port>
|
| 504 |
+
</output>
|
| 505 |
+
</layer>
|
| 506 |
+
<layer id="42" name="Truncate_102284" type="Truncate" version="extension">
|
| 507 |
+
<data m_num_inputs="1" />
|
| 508 |
+
<input>
|
| 509 |
+
<port id="0" precision="I32">
|
| 510 |
+
<dim>-1</dim>
|
| 511 |
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</port>
|
| 512 |
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<port id="1" precision="I32">
|
| 513 |
+
<dim>-1</dim>
|
| 514 |
+
</port>
|
| 515 |
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|
| 516 |
+
<dim>-1</dim>
|
| 517 |
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</port>
|
| 518 |
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<port id="3" precision="I32" />
|
| 519 |
+
<port id="4" precision="U8">
|
| 520 |
+
<dim>4</dim>
|
| 521 |
+
</port>
|
| 522 |
+
<port id="5" precision="U8">
|
| 523 |
+
<dim>13</dim>
|
| 524 |
+
</port>
|
| 525 |
+
</input>
|
| 526 |
+
<output>
|
| 527 |
+
<port id="6" precision="I32">
|
| 528 |
+
<dim>-1</dim>
|
| 529 |
+
</port>
|
| 530 |
+
<port id="7" precision="I32">
|
| 531 |
+
<dim>-1</dim>
|
| 532 |
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</port>
|
| 533 |
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<port id="8" precision="I32">
|
| 534 |
+
<dim>-1</dim>
|
| 535 |
+
</port>
|
| 536 |
+
</output>
|
| 537 |
+
</layer>
|
| 538 |
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<layer id="43" name="Constant_102288" type="Const" version="opset1">
|
| 539 |
+
<data element_type="i32" shape="2" offset="8" size="8" />
|
| 540 |
+
<output>
|
| 541 |
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<port id="0" precision="I32">
|
| 542 |
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<dim>2</dim>
|
| 543 |
+
</port>
|
| 544 |
+
</output>
|
| 545 |
+
</layer>
|
| 546 |
+
<layer id="44" name="CombineSegments_102289" type="CombineSegments" version="extension">
|
| 547 |
+
<input>
|
| 548 |
+
<port id="0" precision="I32" />
|
| 549 |
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|
| 550 |
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|
| 551 |
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<dim>1</dim>
|
| 552 |
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|
| 553 |
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|
| 554 |
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<dim>-1</dim>
|
| 555 |
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</port>
|
| 556 |
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|
| 557 |
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<dim>-1</dim>
|
| 558 |
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</port>
|
| 559 |
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<port id="5" precision="I32">
|
| 560 |
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<dim>-1</dim>
|
| 561 |
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</port>
|
| 562 |
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<port id="6" precision="I32">
|
| 563 |
+
<dim>2</dim>
|
| 564 |
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</port>
|
| 565 |
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</input>
|
| 566 |
+
<output>
|
| 567 |
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<port id="7" precision="I32">
|
| 568 |
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<dim>-1</dim>
|
| 569 |
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</port>
|
| 570 |
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<port id="8" precision="I32">
|
| 571 |
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<dim>-1</dim>
|
| 572 |
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</port>
|
| 573 |
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<port id="9" precision="I32">
|
| 574 |
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<dim>-1</dim>
|
| 575 |
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</port>
|
| 576 |
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<port id="10" precision="I32">
|
| 577 |
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<dim>-1</dim>
|
| 578 |
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</port>
|
| 579 |
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|
| 580 |
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<dim>-1</dim>
|
| 581 |
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</port>
|
| 582 |
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<port id="12" precision="I32">
|
| 583 |
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<dim>-1</dim>
|
| 584 |
+
</port>
|
| 585 |
+
</output>
|
| 586 |
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</layer>
|
| 587 |
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<layer id="45" name="Subtract_102290" type="Subtract" version="opset1">
|
| 588 |
+
<data auto_broadcast="numpy" />
|
| 589 |
+
<input>
|
| 590 |
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<port id="0" precision="I32">
|
| 591 |
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<dim>-1</dim>
|
| 592 |
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</port>
|
| 593 |
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<port id="1" precision="I32">
|
| 594 |
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<dim>-1</dim>
|
| 595 |
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</port>
|
| 596 |
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</input>
|
| 597 |
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<output>
|
| 598 |
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<port id="2" precision="I32">
|
| 599 |
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<dim>-1</dim>
|
| 600 |
+
</port>
|
| 601 |
+
</output>
|
| 602 |
+
</layer>
|
| 603 |
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<layer id="46" name="Constant_102291" type="Const" version="opset1">
|
| 604 |
+
<data element_type="i32" shape="" offset="0" size="4" />
|
| 605 |
+
<output>
|
| 606 |
+
<port id="0" precision="I32" />
|
| 607 |
+
</output>
|
| 608 |
+
</layer>
|
| 609 |
+
<layer id="47" name="ReduceMax_102292" type="ReduceMax" version="opset1">
|
| 610 |
+
<data keep_dims="false" />
|
| 611 |
+
<input>
|
| 612 |
+
<port id="0" precision="I32">
|
| 613 |
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<dim>-1</dim>
|
| 614 |
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</port>
|
| 615 |
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<port id="1" precision="I32" />
|
| 616 |
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</input>
|
| 617 |
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<output>
|
| 618 |
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<port id="2" precision="I32" />
|
| 619 |
+
</output>
|
| 620 |
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</layer>
|
| 621 |
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<layer id="48" name="Constant_102293" type="Const" version="opset1">
|
| 622 |
+
<data element_type="i32" shape="" offset="0" size="4" />
|
| 623 |
+
<output>
|
| 624 |
+
<port id="0" precision="I32" />
|
| 625 |
+
</output>
|
| 626 |
+
</layer>
|
| 627 |
+
<layer id="49" name="RaggedToDense_102294" type="RaggedToDense" version="extension">
|
| 628 |
+
<data pad_right="false" m_pad_max_length="false" />
|
| 629 |
+
<input>
|
| 630 |
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<port id="0" precision="I32">
|
| 631 |
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<dim>-1</dim>
|
| 632 |
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|
| 633 |
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|
| 634 |
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<dim>-1</dim>
|
| 635 |
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|
| 636 |
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|
| 637 |
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<dim>-1</dim>
|
| 638 |
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</port>
|
| 639 |
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<port id="3" precision="I32" />
|
| 640 |
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<port id="4" precision="I32" />
|
| 641 |
+
</input>
|
| 642 |
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<output>
|
| 643 |
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<port id="5" precision="I32">
|
| 644 |
+
<dim>-1</dim>
|
| 645 |
+
<dim>-1</dim>
|
| 646 |
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</port>
|
| 647 |
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<port id="6" precision="BOOL">
|
| 648 |
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<dim>-1</dim>
|
| 649 |
+
<dim>-1</dim>
|
| 650 |
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</port>
|
| 651 |
+
</output>
|
| 652 |
+
</layer>
|
| 653 |
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<layer id="50" name="Convert_102295" type="Convert" version="opset1">
|
| 654 |
+
<data destination_type="i32" />
|
| 655 |
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<input>
|
| 656 |
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<port id="0" precision="BOOL">
|
| 657 |
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<dim>-1</dim>
|
| 658 |
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<dim>-1</dim>
|
| 659 |
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</port>
|
| 660 |
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</input>
|
| 661 |
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<output>
|
| 662 |
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<port id="1" precision="I32">
|
| 663 |
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<dim>-1</dim>
|
| 664 |
+
<dim>-1</dim>
|
| 665 |
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</port>
|
| 666 |
+
</output>
|
| 667 |
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</layer>
|
| 668 |
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<layer id="51" name="Convert_102295.0" type="Convert" version="opset1">
|
| 669 |
+
<data destination_type="i64" />
|
| 670 |
+
<input>
|
| 671 |
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<port id="0" precision="I32">
|
| 672 |
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<dim>-1</dim>
|
| 673 |
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<dim>-1</dim>
|
| 674 |
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</port>
|
| 675 |
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</input>
|
| 676 |
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<output>
|
| 677 |
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<port id="1" precision="I64" names="attention_mask">
|
| 678 |
+
<dim>-1</dim>
|
| 679 |
+
<dim>-1</dim>
|
| 680 |
+
</port>
|
| 681 |
+
</output>
|
| 682 |
+
</layer>
|
| 683 |
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<layer id="53" name="RaggedToDense_102294.0" type="Convert" version="opset1">
|
| 684 |
+
<data destination_type="i64" />
|
| 685 |
+
<input>
|
| 686 |
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<port id="0" precision="I32">
|
| 687 |
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<dim>-1</dim>
|
| 688 |
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<dim>-1</dim>
|
| 689 |
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</port>
|
| 690 |
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</input>
|
| 691 |
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<output>
|
| 692 |
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<port id="1" precision="I64" names="input_ids">
|
| 693 |
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<dim>-1</dim>
|
| 694 |
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<dim>-1</dim>
|
| 695 |
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</port>
|
| 696 |
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</output>
|
| 697 |
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</layer>
|
| 698 |
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<layer id="54" name="Result_102298" type="Result" version="opset1" output_names="input_ids">
|
| 699 |
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<input>
|
| 700 |
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<port id="0" precision="I64">
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| 701 |
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<dim>-1</dim>
|
| 702 |
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<dim>-1</dim>
|
| 703 |
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</port>
|
| 704 |
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</input>
|
| 705 |
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</layer>
|
| 706 |
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<layer id="52" name="Result_102300" type="Result" version="opset1" output_names="attention_mask">
|
| 707 |
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|
| 708 |
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<port id="0" precision="I64">
|
| 709 |
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<dim>-1</dim>
|
| 710 |
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<dim>-1</dim>
|
| 711 |
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</port>
|
| 712 |
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</input>
|
| 713 |
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</layer>
|
| 714 |
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</layers>
|
| 715 |
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| 743 |
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|
| 745 |
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|
| 746 |
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|
| 747 |
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|
| 748 |
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|
| 749 |
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|
| 750 |
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|
| 751 |
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|
| 752 |
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|
| 753 |
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|
| 754 |
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|
| 755 |
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|
| 756 |
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|
| 757 |
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|
| 758 |
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|
| 759 |
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|
| 760 |
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|
| 761 |
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|
| 762 |
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|
| 764 |
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|
| 765 |
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|
| 766 |
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|
| 767 |
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|
| 768 |
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|
| 769 |
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|
| 770 |
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|
| 771 |
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|
| 772 |
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<edge from-layer="40" from-port="0" to-layer="42" to-port="4" />
|
| 773 |
+
<edge from-layer="41" from-port="0" to-layer="42" to-port="5" />
|
| 774 |
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<edge from-layer="42" from-port="8" to-layer="44" to-port="5" />
|
| 775 |
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<edge from-layer="42" from-port="7" to-layer="44" to-port="4" />
|
| 776 |
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|
| 777 |
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|
| 778 |
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|
| 779 |
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|
| 780 |
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|
| 781 |
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|
| 782 |
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|
| 783 |
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|
| 784 |
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|
| 785 |
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<edge from-layer="47" from-port="2" to-layer="49" to-port="3" />
|
| 786 |
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<edge from-layer="48" from-port="0" to-layer="49" to-port="4" />
|
| 787 |
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<edge from-layer="49" from-port="6" to-layer="50" to-port="0" />
|
| 788 |
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<edge from-layer="49" from-port="5" to-layer="53" to-port="0" />
|
| 789 |
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<edge from-layer="50" from-port="1" to-layer="51" to-port="0" />
|
| 790 |
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<edge from-layer="51" from-port="1" to-layer="52" to-port="0" />
|
| 791 |
+
<edge from-layer="53" from-port="1" to-layer="54" to-port="0" />
|
| 792 |
+
</edges>
|
| 793 |
+
<rt_info>
|
| 794 |
+
<add_attention_mask value="True" />
|
| 795 |
+
<add_prefix_space />
|
| 796 |
+
<add_special_tokens value="True" />
|
| 797 |
+
<bos_token_id value="1" />
|
| 798 |
+
<chat_template value="{%- if messages[0]['role'] == 'system' %} {%- set system_message = messages[0]['content'] %} {%- set loop_messages = messages[1:] %} {%- else %} {%- set loop_messages = messages %} {%- endif %} {{- bos_token }} {%- for message in loop_messages %} {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %} {{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }} {%- endif %} {%- if message['role'] == 'user' %} {%- if loop.first and system_message is defined %} {{- ' [INST] ' + system_message + '\n\n' + message['content'] + ' [/INST]' }} {%- else %} {{- ' [INST] ' + message['content'] + ' [/INST]' }} {%- endif %} {%- elif message['role'] == 'assistant' %} {{- ' ' + message['content'] + eos_token}} {%- else %} {{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }} {%- endif %} {%- endfor %} " />
|
| 799 |
+
<clean_up_tokenization_spaces />
|
| 800 |
+
<detokenizer_input_type value="i64" />
|
| 801 |
+
<eos_token_id value="2" />
|
| 802 |
+
<handle_special_tokens_with_re />
|
| 803 |
+
<max_length />
|
| 804 |
+
<number_of_inputs value="1" />
|
| 805 |
+
<openvino_tokenizers_version value="2025.2.0.0-565-130827ab189" />
|
| 806 |
+
<openvino_version value="2025.2.0-19120-87425bc78ca-releases/2025/2" />
|
| 807 |
+
<original_post_processor_template value="{"type": "TemplateProcessing", "single": [{"SpecialToken": {"id": "<s>", "type_id": 0}}, {"Sequence": {"id": "A", "type_id": 0}}], "pair": [{"SpecialToken": {"id": "<s>", "type_id": 0}}, {"Sequence": {"id": "A", "type_id": 0}}, {"SpecialToken": {"id": "<s>", "type_id": 1}}, {"Sequence": {"id": "B", "type_id": 1}}], "special_tokens": {"<s>": {"id": "<s>", "ids": [1], "tokens": ["<s>"]}}}" />
|
| 808 |
+
<original_tokenizer_class value="<class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>" />
|
| 809 |
+
<processed_post_processor_template value="{"single": {"ids": [1, -1], "type_ids": [0, 0]}, "pair": {"ids": [1, -1, 1, -2], "type_ids": [0, 0, 1, 1]}}" />
|
| 810 |
+
<sentencepiece_version value="0.2.0" />
|
| 811 |
+
<skip_special_tokens value="True" />
|
| 812 |
+
<streaming_detokenizer value="False" />
|
| 813 |
+
<tiktoken_version value="0.9.0" />
|
| 814 |
+
<tokenizer_output_type value="i64" />
|
| 815 |
+
<tokenizers_version value="0.21.1" />
|
| 816 |
+
<transformers_version value="4.51.3" />
|
| 817 |
+
<use_max_padding value="False" />
|
| 818 |
+
<use_sentencepiece_backend value="False" />
|
| 819 |
+
<utf8_replace_mode value="replace" />
|
| 820 |
+
<with_detokenizer value="True" />
|
| 821 |
+
</rt_info>
|
| 822 |
+
</net>
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
| 3 |
+
size 493443
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<unk>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "</s>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
"additional_special_tokens": [],
|
| 32 |
+
"bos_token": "<s>",
|
| 33 |
+
"chat_template": "{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content'] %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set loop_messages = messages %}\n{%- endif %}\n\n{{- bos_token }}\n{%- for message in loop_messages %}\n {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}\n {{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }}\n {%- endif %}\n {%- if message['role'] == 'user' %}\n {%- if loop.first and system_message is defined %}\n {{- ' [INST] ' + system_message + '\\n\\n' + message['content'] + ' [/INST]' }}\n {%- else %}\n {{- ' [INST] ' + message['content'] + ' [/INST]' }}\n {%- endif %}\n {%- elif message['role'] == 'assistant' %}\n {{- ' ' + message['content'] + eos_token}}\n {%- else %}\n {{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }}\n {%- endif %}\n{%- endfor %}\n",
|
| 34 |
+
"clean_up_tokenization_spaces": false,
|
| 35 |
+
"eos_token": "</s>",
|
| 36 |
+
"extra_special_tokens": {},
|
| 37 |
+
"legacy": false,
|
| 38 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 39 |
+
"pad_token": null,
|
| 40 |
+
"sp_model_kwargs": {},
|
| 41 |
+
"spaces_between_special_tokens": false,
|
| 42 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 43 |
+
"unk_token": "<unk>",
|
| 44 |
+
"use_default_system_prompt": false
|
| 45 |
+
}
|