Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +103 -0
- added_tokens.json +16 -0
- chat_template.jinja +7 -0
- config.json +127 -0
- generation_config.json +13 -0
- merges.txt +0 -0
- openvino_detokenizer.bin +3 -0
- openvino_detokenizer.xml +218 -0
- openvino_language_model.bin +3 -0
- openvino_language_model.xml +0 -0
- openvino_text_embeddings_model.bin +3 -0
- openvino_text_embeddings_model.xml +113 -0
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +722 -0
- openvino_vision_embeddings_merger_model.bin +3 -0
- openvino_vision_embeddings_merger_model.xml +0 -0
- openvino_vision_embeddings_model.bin +3 -0
- openvino_vision_embeddings_model.xml +173 -0
- preprocessor_config.json +29 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +144 -0
- video_preprocessor_config.json +43 -0
- vocab.json +0 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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| 2 |
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license: apache-2.0
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| 3 |
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language:
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- en
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pipeline_tag: image-text-to-text
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tags:
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- multimodal
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library_name: transformers
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base_model:
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- Qwen/Qwen2-VL-7B-Instruct
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base_model_relation: quantized
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---
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# Qwen2-VL-7B-Instruct-fp16-ov
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* Model creator: [Qwen](https://huggingface.co/Qwen)
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* Original model: [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct)
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| 18 |
+
|
| 19 |
+
## Description
|
| 20 |
+
|
| 21 |
+
This is [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2025/documentation/openvino-ir-format.html) (Intermediate Representation) format.
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| 22 |
+
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| 23 |
+
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| 24 |
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## Compatibility
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+
The provided OpenVINO™ IR model is compatible with:
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| 27 |
+
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* OpenVINO version 2025.2.0 and higher
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| 29 |
+
* Optimum Intel 1.26.0 and higher
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| 30 |
+
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| 31 |
+
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| 32 |
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## Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)
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| 33 |
+
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1. Install packages required for using OpenVINO GenAI.
|
| 35 |
+
```
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| 36 |
+
pip install --pre -U --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/pre-release openvino openvino-tokenizers openvino-genai
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| 37 |
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pip install huggingface_hub
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```
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2. Download model from HuggingFace Hub
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| 42 |
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```
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import huggingface_hub as hf_hub
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model_id = "OpenVINO/Qwen2-VL-7B-Instruct-fp16-ov"
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model_path = "Qwen2-VL-7B-Instruct-fp16-ov"
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| 48 |
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hf_hub.snapshot_download(model_id, local_dir=model_path)
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```
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1. Run model inference:
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| 54 |
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| 55 |
+
```
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| 56 |
+
import openvino_genai as ov_genai
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| 57 |
+
import requests
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| 58 |
+
from PIL import Image
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| 59 |
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from io import BytesIO
|
| 60 |
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import numpy as np
|
| 61 |
+
import openvino as ov
|
| 62 |
+
|
| 63 |
+
device = "CPU"
|
| 64 |
+
pipe = ov_genai.VLMPipeline(model_path, device)
|
| 65 |
+
|
| 66 |
+
def load_image(image_file):
|
| 67 |
+
if isinstance(image_file, str) and (image_file.startswith("http") or image_file.startswith("https")):
|
| 68 |
+
response = requests.get(image_file)
|
| 69 |
+
image = Image.open(BytesIO(response.content)).convert("RGB")
|
| 70 |
+
else:
|
| 71 |
+
image = Image.open(image_file).convert("RGB")
|
| 72 |
+
image_data = np.array(image.getdata()).reshape(1, image.size[1], image.size[0], 3).astype(np.byte)
|
| 73 |
+
return ov.Tensor(image_data)
|
| 74 |
+
|
| 75 |
+
prompt = "What is unusual in this picture?"
|
| 76 |
+
|
| 77 |
+
url = "https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/d5fbbd1a-d484-415c-88cb-9986625b7b11"
|
| 78 |
+
image_tensor = load_image(url)
|
| 79 |
+
|
| 80 |
+
def streamer(subword: str) -> bool:
|
| 81 |
+
print(subword, end="", flush=True)
|
| 82 |
+
return False
|
| 83 |
+
|
| 84 |
+
pipe.start_chat()
|
| 85 |
+
output = pipe.generate(prompt, image=image_tensor, max_new_tokens=100, streamer=streamer)
|
| 86 |
+
pipe.finish_chat()
|
| 87 |
+
```
|
| 88 |
+
|
| 89 |
+
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)
|
| 90 |
+
|
| 91 |
+
|
| 92 |
+
## Limitations
|
| 93 |
+
|
| 94 |
+
Check the original [model card](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct) for limitations.
|
| 95 |
+
|
| 96 |
+
## Legal information
|
| 97 |
+
|
| 98 |
+
The original model is distributed under [apache-2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) license. More details can be found in [original model card](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct).
|
| 99 |
+
|
| 100 |
+
## Disclaimer
|
| 101 |
+
|
| 102 |
+
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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added_tokens.json
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{
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| 2 |
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"<|box_end|>": 151649,
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| 3 |
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"<|box_start|>": 151648,
|
| 4 |
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"<|endoftext|>": 151643,
|
| 5 |
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"<|im_end|>": 151645,
|
| 6 |
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"<|im_start|>": 151644,
|
| 7 |
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"<|image_pad|>": 151655,
|
| 8 |
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"<|object_ref_end|>": 151647,
|
| 9 |
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"<|object_ref_start|>": 151646,
|
| 10 |
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"<|quad_end|>": 151651,
|
| 11 |
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"<|quad_start|>": 151650,
|
| 12 |
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"<|video_pad|>": 151656,
|
| 13 |
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"<|vision_end|>": 151653,
|
| 14 |
+
"<|vision_pad|>": 151654,
|
| 15 |
+
"<|vision_start|>": 151652
|
| 16 |
+
}
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chat_template.jinja
ADDED
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| 1 |
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{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system
|
| 2 |
+
You are a helpful assistant.<|im_end|>
|
| 3 |
+
{% endif %}<|im_start|>{{ message['role'] }}
|
| 4 |
+
{% if message['content'] is string %}{{ message['content'] }}<|im_end|>
|
| 5 |
+
{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>
|
| 6 |
+
{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant
|
| 7 |
+
{% endif %}
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config.json
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| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen2VLForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"bos_token_id": 151643,
|
| 7 |
+
"eos_token_id": 151645,
|
| 8 |
+
"hidden_act": "silu",
|
| 9 |
+
"hidden_size": 3584,
|
| 10 |
+
"image_token_id": 151655,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 18944,
|
| 13 |
+
"max_position_embeddings": 32768,
|
| 14 |
+
"max_window_layers": 28,
|
| 15 |
+
"model_type": "qwen2_vl",
|
| 16 |
+
"num_attention_heads": 28,
|
| 17 |
+
"num_hidden_layers": 28,
|
| 18 |
+
"num_key_value_heads": 4,
|
| 19 |
+
"rms_norm_eps": 1e-06,
|
| 20 |
+
"rope_scaling": {
|
| 21 |
+
"mrope_section": [
|
| 22 |
+
16,
|
| 23 |
+
24,
|
| 24 |
+
24
|
| 25 |
+
],
|
| 26 |
+
"rope_type": "default",
|
| 27 |
+
"type": "default"
|
| 28 |
+
},
|
| 29 |
+
"rope_theta": 1000000.0,
|
| 30 |
+
"sliding_window": 32768,
|
| 31 |
+
"text_config": {
|
| 32 |
+
"architectures": [
|
| 33 |
+
"Qwen2VLForConditionalGeneration"
|
| 34 |
+
],
|
| 35 |
+
"attention_dropout": 0.0,
|
| 36 |
+
"bos_token_id": 151643,
|
| 37 |
+
"eos_token_id": 151645,
|
| 38 |
+
"hidden_act": "silu",
|
| 39 |
+
"hidden_size": 3584,
|
| 40 |
+
"image_token_id": null,
|
| 41 |
+
"initializer_range": 0.02,
|
| 42 |
+
"intermediate_size": 18944,
|
| 43 |
+
"layer_types": [
|
| 44 |
+
"full_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"full_attention",
|
| 51 |
+
"full_attention",
|
| 52 |
+
"full_attention",
|
| 53 |
+
"full_attention",
|
| 54 |
+
"full_attention",
|
| 55 |
+
"full_attention",
|
| 56 |
+
"full_attention",
|
| 57 |
+
"full_attention",
|
| 58 |
+
"full_attention",
|
| 59 |
+
"full_attention",
|
| 60 |
+
"full_attention",
|
| 61 |
+
"full_attention",
|
| 62 |
+
"full_attention",
|
| 63 |
+
"full_attention",
|
| 64 |
+
"full_attention",
|
| 65 |
+
"full_attention",
|
| 66 |
+
"full_attention",
|
| 67 |
+
"full_attention",
|
| 68 |
+
"full_attention",
|
| 69 |
+
"full_attention",
|
| 70 |
+
"full_attention",
|
| 71 |
+
"full_attention"
|
| 72 |
+
],
|
| 73 |
+
"max_position_embeddings": 32768,
|
| 74 |
+
"max_window_layers": 28,
|
| 75 |
+
"model_type": "qwen2_vl_text",
|
| 76 |
+
"num_attention_heads": 28,
|
| 77 |
+
"num_hidden_layers": 28,
|
| 78 |
+
"num_key_value_heads": 4,
|
| 79 |
+
"rms_norm_eps": 1e-06,
|
| 80 |
+
"rope_scaling": {
|
| 81 |
+
"mrope_section": [
|
| 82 |
+
16,
|
| 83 |
+
24,
|
| 84 |
+
24
|
| 85 |
+
],
|
| 86 |
+
"rope_type": "default",
|
| 87 |
+
"type": "default"
|
| 88 |
+
},
|
| 89 |
+
"rope_theta": 1000000.0,
|
| 90 |
+
"sliding_window": null,
|
| 91 |
+
"torch_dtype": "float16",
|
| 92 |
+
"use_cache": true,
|
| 93 |
+
"use_sliding_window": false,
|
| 94 |
+
"video_token_id": null,
|
| 95 |
+
"vision_end_token_id": 151653,
|
| 96 |
+
"vision_start_token_id": 151652,
|
| 97 |
+
"vision_token_id": 151654,
|
| 98 |
+
"vocab_size": 152064
|
| 99 |
+
},
|
| 100 |
+
"tie_word_embeddings": false,
|
| 101 |
+
"torch_dtype": "float16",
|
| 102 |
+
"transformers_version": "4.53.3",
|
| 103 |
+
"use_cache": true,
|
| 104 |
+
"use_sliding_window": false,
|
| 105 |
+
"video_token_id": 151656,
|
| 106 |
+
"vision_config": {
|
| 107 |
+
"depth": 32,
|
| 108 |
+
"embed_dim": 1280,
|
| 109 |
+
"hidden_act": "quick_gelu",
|
| 110 |
+
"hidden_size": 3584,
|
| 111 |
+
"in_channels": 3,
|
| 112 |
+
"in_chans": 3,
|
| 113 |
+
"initializer_range": 0.02,
|
| 114 |
+
"mlp_ratio": 4,
|
| 115 |
+
"model_type": "qwen2_vl",
|
| 116 |
+
"num_heads": 16,
|
| 117 |
+
"patch_size": 14,
|
| 118 |
+
"spatial_merge_size": 2,
|
| 119 |
+
"spatial_patch_size": 14,
|
| 120 |
+
"temporal_patch_size": 2,
|
| 121 |
+
"torch_dtype": "float16"
|
| 122 |
+
},
|
| 123 |
+
"vision_end_token_id": 151653,
|
| 124 |
+
"vision_start_token_id": 151652,
|
| 125 |
+
"vision_token_id": 151654,
|
| 126 |
+
"vocab_size": 152064
|
| 127 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"temperature": 0.01,
|
| 10 |
+
"top_k": 1,
|
| 11 |
+
"top_p": 0.001,
|
| 12 |
+
"transformers_version": "4.53.3"
|
| 13 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
openvino_detokenizer.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d8341b6f7c22a05fa7ca1bd7093fabc5694363871719d12d446c00571673f4b7
|
| 3 |
+
size 2189474
|
openvino_detokenizer.xml
ADDED
|
@@ -0,0 +1,218 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<net name="detokenizer" version="11">
|
| 3 |
+
<layers>
|
| 4 |
+
<layer id="0" name="Parameter_192638" type="Parameter" version="opset1">
|
| 5 |
+
<data shape="?,?" element_type="i64" />
|
| 6 |
+
<output>
|
| 7 |
+
<port id="0" precision="I64" names="Parameter_192638">
|
| 8 |
+
<dim>-1</dim>
|
| 9 |
+
<dim>-1</dim>
|
| 10 |
+
</port>
|
| 11 |
+
</output>
|
| 12 |
+
</layer>
|
| 13 |
+
<layer id="1" name="Convert_192828" 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 |
+
<output>
|
| 22 |
+
<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_192640" type="Const" version="opset1">
|
| 29 |
+
<data element_type="i32" shape="151657" offset="0" size="606628" />
|
| 30 |
+
<output>
|
| 31 |
+
<port id="0" precision="I32">
|
| 32 |
+
<dim>151657</dim>
|
| 33 |
+
</port>
|
| 34 |
+
</output>
|
| 35 |
+
</layer>
|
| 36 |
+
<layer id="3" name="Constant_192642" type="Const" version="opset1">
|
| 37 |
+
<data element_type="i32" shape="151657" offset="606628" size="606628" />
|
| 38 |
+
<output>
|
| 39 |
+
<port id="0" precision="I32">
|
| 40 |
+
<dim>151657</dim>
|
| 41 |
+
</port>
|
| 42 |
+
</output>
|
| 43 |
+
</layer>
|
| 44 |
+
<layer id="4" name="Constant_192644" type="Const" version="opset1">
|
| 45 |
+
<data element_type="u8" shape="976162" offset="1213256" size="976162" />
|
| 46 |
+
<output>
|
| 47 |
+
<port id="0" precision="U8">
|
| 48 |
+
<dim>976162</dim>
|
| 49 |
+
</port>
|
| 50 |
+
</output>
|
| 51 |
+
</layer>
|
| 52 |
+
<layer id="5" name="Slice_192649" type="Const" version="opset1">
|
| 53 |
+
<data element_type="i32" shape="14" offset="2189418" size="56" />
|
| 54 |
+
<output>
|
| 55 |
+
<port id="0" precision="I32">
|
| 56 |
+
<dim>14</dim>
|
| 57 |
+
</port>
|
| 58 |
+
</output>
|
| 59 |
+
</layer>
|
| 60 |
+
<layer id="6" name="VocabDecoder_192651" 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>151657</dim>
|
| 69 |
+
</port>
|
| 70 |
+
<port id="2" precision="I32">
|
| 71 |
+
<dim>151657</dim>
|
| 72 |
+
</port>
|
| 73 |
+
<port id="3" precision="U8">
|
| 74 |
+
<dim>976162</dim>
|
| 75 |
+
</port>
|
| 76 |
+
<port id="4" precision="I32">
|
| 77 |
+
<dim>14</dim>
|
| 78 |
+
</port>
|
| 79 |
+
</input>
|
| 80 |
+
<output>
|
| 81 |
+
<port id="5" precision="I32">
|
| 82 |
+
<dim>-1</dim>
|
| 83 |
+
</port>
|
| 84 |
+
<port id="6" precision="I32">
|
| 85 |
+
<dim>-1</dim>
|
| 86 |
+
</port>
|
| 87 |
+
<port id="7" precision="I32">
|
| 88 |
+
<dim>-1</dim>
|
| 89 |
+
</port>
|
| 90 |
+
<port id="8" precision="I32">
|
| 91 |
+
<dim>-1</dim>
|
| 92 |
+
</port>
|
| 93 |
+
<port id="9" precision="U8">
|
| 94 |
+
<dim>-1</dim>
|
| 95 |
+
</port>
|
| 96 |
+
</output>
|
| 97 |
+
</layer>
|
| 98 |
+
<layer id="7" name="FuzeRagged_192652" type="FuzeRagged" version="extension">
|
| 99 |
+
<input>
|
| 100 |
+
<port id="0" precision="I32">
|
| 101 |
+
<dim>-1</dim>
|
| 102 |
+
</port>
|
| 103 |
+
<port id="1" precision="I32">
|
| 104 |
+
<dim>-1</dim>
|
| 105 |
+
</port>
|
| 106 |
+
<port id="2" precision="I32">
|
| 107 |
+
<dim>-1</dim>
|
| 108 |
+
</port>
|
| 109 |
+
<port id="3" precision="I32">
|
| 110 |
+
<dim>-1</dim>
|
| 111 |
+
</port>
|
| 112 |
+
</input>
|
| 113 |
+
<output>
|
| 114 |
+
<port id="4" precision="I32">
|
| 115 |
+
<dim>-1</dim>
|
| 116 |
+
</port>
|
| 117 |
+
<port id="5" precision="I32">
|
| 118 |
+
<dim>-1</dim>
|
| 119 |
+
</port>
|
| 120 |
+
</output>
|
| 121 |
+
</layer>
|
| 122 |
+
<layer id="8" name="UTF8Validate_192653" type="UTF8Validate" version="extension">
|
| 123 |
+
<data replace_mode="true" />
|
| 124 |
+
<input>
|
| 125 |
+
<port id="0" precision="I32">
|
| 126 |
+
<dim>-1</dim>
|
| 127 |
+
</port>
|
| 128 |
+
<port id="1" precision="I32">
|
| 129 |
+
<dim>-1</dim>
|
| 130 |
+
</port>
|
| 131 |
+
<port id="2" precision="U8">
|
| 132 |
+
<dim>-1</dim>
|
| 133 |
+
</port>
|
| 134 |
+
</input>
|
| 135 |
+
<output>
|
| 136 |
+
<port id="3" precision="I32">
|
| 137 |
+
<dim>-1</dim>
|
| 138 |
+
</port>
|
| 139 |
+
<port id="4" precision="I32">
|
| 140 |
+
<dim>-1</dim>
|
| 141 |
+
</port>
|
| 142 |
+
<port id="5" precision="U8">
|
| 143 |
+
<dim>-1</dim>
|
| 144 |
+
</port>
|
| 145 |
+
</output>
|
| 146 |
+
</layer>
|
| 147 |
+
<layer id="9" name="StringTensorPack_192654" type="StringTensorPack" version="opset15">
|
| 148 |
+
<input>
|
| 149 |
+
<port id="0" precision="I32">
|
| 150 |
+
<dim>-1</dim>
|
| 151 |
+
</port>
|
| 152 |
+
<port id="1" precision="I32">
|
| 153 |
+
<dim>-1</dim>
|
| 154 |
+
</port>
|
| 155 |
+
<port id="2" precision="U8">
|
| 156 |
+
<dim>-1</dim>
|
| 157 |
+
</port>
|
| 158 |
+
</input>
|
| 159 |
+
<output>
|
| 160 |
+
<port id="3" precision="STRING" names="Result_192655,string_output">
|
| 161 |
+
<dim>-1</dim>
|
| 162 |
+
</port>
|
| 163 |
+
</output>
|
| 164 |
+
</layer>
|
| 165 |
+
<layer id="10" name="Result_192655" type="Result" version="opset1" output_names="Result_192655,string_output">
|
| 166 |
+
<input>
|
| 167 |
+
<port id="0" precision="STRING">
|
| 168 |
+
<dim>-1</dim>
|
| 169 |
+
</port>
|
| 170 |
+
</input>
|
| 171 |
+
</layer>
|
| 172 |
+
</layers>
|
| 173 |
+
<edges>
|
| 174 |
+
<edge from-layer="0" from-port="0" to-layer="1" to-port="0" />
|
| 175 |
+
<edge from-layer="1" from-port="1" to-layer="6" to-port="0" />
|
| 176 |
+
<edge from-layer="2" from-port="0" to-layer="6" to-port="1" />
|
| 177 |
+
<edge from-layer="3" from-port="0" to-layer="6" to-port="2" />
|
| 178 |
+
<edge from-layer="4" from-port="0" to-layer="6" to-port="3" />
|
| 179 |
+
<edge from-layer="5" from-port="0" to-layer="6" to-port="4" />
|
| 180 |
+
<edge from-layer="6" from-port="7" to-layer="7" to-port="2" />
|
| 181 |
+
<edge from-layer="6" from-port="9" to-layer="8" to-port="2" />
|
| 182 |
+
<edge from-layer="6" from-port="8" to-layer="7" to-port="3" />
|
| 183 |
+
<edge from-layer="6" from-port="6" to-layer="7" to-port="1" />
|
| 184 |
+
<edge from-layer="6" from-port="5" to-layer="7" to-port="0" />
|
| 185 |
+
<edge from-layer="7" from-port="4" to-layer="8" to-port="0" />
|
| 186 |
+
<edge from-layer="7" from-port="5" to-layer="8" to-port="1" />
|
| 187 |
+
<edge from-layer="8" from-port="3" to-layer="9" to-port="0" />
|
| 188 |
+
<edge from-layer="8" from-port="4" to-layer="9" to-port="1" />
|
| 189 |
+
<edge from-layer="8" from-port="5" to-layer="9" to-port="2" />
|
| 190 |
+
<edge from-layer="9" from-port="3" to-layer="10" to-port="0" />
|
| 191 |
+
</edges>
|
| 192 |
+
<rt_info>
|
| 193 |
+
<add_attention_mask value="True" />
|
| 194 |
+
<add_prefix_space />
|
| 195 |
+
<add_special_tokens value="True" />
|
| 196 |
+
<chat_template value="{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system You are a helpful assistant.<|im_end|> {% endif %}<|im_start|>{{ message['role'] }} {% if message['content'] is string %}{{ message['content'] }}<|im_end|> {% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|> {% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant {% endif %}" />
|
| 197 |
+
<clean_up_tokenization_spaces />
|
| 198 |
+
<detokenizer_input_type value="i64" />
|
| 199 |
+
<eos_token_id value="151645" />
|
| 200 |
+
<handle_special_tokens_with_re />
|
| 201 |
+
<max_length />
|
| 202 |
+
<number_of_inputs value="1" />
|
| 203 |
+
<openvino_tokenizers_version value="2025.2.0.1-567-7885335c24b" />
|
| 204 |
+
<openvino_version value="2025.2.0-19140-c01cd93e24d-releases/2025/2" />
|
| 205 |
+
<original_post_processor_template value="{"type": "ByteLevel", "add_prefix_space": false, "trim_offsets": false, "use_regex": false}" />
|
| 206 |
+
<original_tokenizer_class value="<class 'transformers.models.qwen2.tokenization_qwen2_fast.Qwen2TokenizerFast'>" />
|
| 207 |
+
<pad_token_id value="151643" />
|
| 208 |
+
<skip_special_tokens value="True" />
|
| 209 |
+
<streaming_detokenizer value="False" />
|
| 210 |
+
<tokenizer_output_type value="i64" />
|
| 211 |
+
<tokenizers_version value="0.21.4" />
|
| 212 |
+
<transformers_version value="4.53.3" />
|
| 213 |
+
<use_max_padding value="False" />
|
| 214 |
+
<use_sentencepiece_backend value="False" />
|
| 215 |
+
<utf8_replace_mode value="replace" />
|
| 216 |
+
<with_detokenizer value="True" />
|
| 217 |
+
</rt_info>
|
| 218 |
+
</net>
|
openvino_language_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:702ce060318975eeda222b2d321f6812c5f69eb811b74795866fa4e193b4abf1
|
| 3 |
+
size 14141238721
|
openvino_language_model.xml
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
openvino_text_embeddings_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:924e99773b6414122dd7d070f0e8bc613548ea2163b382029d9620b300d2bce2
|
| 3 |
+
size 1089994756
|
openvino_text_embeddings_model.xml
ADDED
|
@@ -0,0 +1,113 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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|
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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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|
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|
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|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<net name="Model9" version="11">
|
| 3 |
+
<layers>
|
| 4 |
+
<layer id="0" name="input" type="Parameter" version="opset1">
|
| 5 |
+
<data shape="?,?" element_type="i64" />
|
| 6 |
+
<output>
|
| 7 |
+
<port id="0" precision="I64" names="input">
|
| 8 |
+
<dim>-1</dim>
|
| 9 |
+
<dim>-1</dim>
|
| 10 |
+
</port>
|
| 11 |
+
</output>
|
| 12 |
+
</layer>
|
| 13 |
+
<layer id="1" name="self.weight" type="Const" version="opset1">
|
| 14 |
+
<data element_type="f16" shape="152064, 3584" offset="0" size="1089994752" />
|
| 15 |
+
<output>
|
| 16 |
+
<port id="0" precision="FP16" names="self.weight">
|
| 17 |
+
<dim>152064</dim>
|
| 18 |
+
<dim>3584</dim>
|
| 19 |
+
</port>
|
| 20 |
+
</output>
|
| 21 |
+
</layer>
|
| 22 |
+
<layer id="2" name="ov_ext::embedding/Convert" type="Convert" version="opset1">
|
| 23 |
+
<data destination_type="f32" />
|
| 24 |
+
<rt_info>
|
| 25 |
+
<attribute name="decompression" version="0" />
|
| 26 |
+
</rt_info>
|
| 27 |
+
<input>
|
| 28 |
+
<port id="0" precision="FP16">
|
| 29 |
+
<dim>152064</dim>
|
| 30 |
+
<dim>3584</dim>
|
| 31 |
+
</port>
|
| 32 |
+
</input>
|
| 33 |
+
<output>
|
| 34 |
+
<port id="1" precision="FP32">
|
| 35 |
+
<dim>152064</dim>
|
| 36 |
+
<dim>3584</dim>
|
| 37 |
+
</port>
|
| 38 |
+
</output>
|
| 39 |
+
</layer>
|
| 40 |
+
<layer id="3" name="ov_ext::embedding/Convert_1" type="Convert" version="opset1">
|
| 41 |
+
<data destination_type="i32" />
|
| 42 |
+
<input>
|
| 43 |
+
<port id="0" precision="I64">
|
| 44 |
+
<dim>-1</dim>
|
| 45 |
+
<dim>-1</dim>
|
| 46 |
+
</port>
|
| 47 |
+
</input>
|
| 48 |
+
<output>
|
| 49 |
+
<port id="1" precision="I32">
|
| 50 |
+
<dim>-1</dim>
|
| 51 |
+
<dim>-1</dim>
|
| 52 |
+
</port>
|
| 53 |
+
</output>
|
| 54 |
+
</layer>
|
| 55 |
+
<layer id="4" name="ov_ext::embedding/Constant" type="Const" version="opset1">
|
| 56 |
+
<data element_type="i32" shape="" offset="1089994752" size="4" />
|
| 57 |
+
<output>
|
| 58 |
+
<port id="0" precision="I32" />
|
| 59 |
+
</output>
|
| 60 |
+
</layer>
|
| 61 |
+
<layer id="5" name="ov_ext::embedding/Gather" type="Gather" version="opset8">
|
| 62 |
+
<data batch_dims="0" />
|
| 63 |
+
<input>
|
| 64 |
+
<port id="0" precision="FP32">
|
| 65 |
+
<dim>152064</dim>
|
| 66 |
+
<dim>3584</dim>
|
| 67 |
+
</port>
|
| 68 |
+
<port id="1" precision="I32">
|
| 69 |
+
<dim>-1</dim>
|
| 70 |
+
<dim>-1</dim>
|
| 71 |
+
</port>
|
| 72 |
+
<port id="2" precision="I32" />
|
| 73 |
+
</input>
|
| 74 |
+
<output>
|
| 75 |
+
<port id="3" precision="FP32" names="inputs_embeds">
|
| 76 |
+
<dim>-1</dim>
|
| 77 |
+
<dim>-1</dim>
|
| 78 |
+
<dim>3584</dim>
|
| 79 |
+
</port>
|
| 80 |
+
</output>
|
| 81 |
+
</layer>
|
| 82 |
+
<layer id="6" name="Result_190510" type="Result" version="opset1" output_names="inputs_embeds">
|
| 83 |
+
<input>
|
| 84 |
+
<port id="0" precision="FP32">
|
| 85 |
+
<dim>-1</dim>
|
| 86 |
+
<dim>-1</dim>
|
| 87 |
+
<dim>3584</dim>
|
| 88 |
+
</port>
|
| 89 |
+
</input>
|
| 90 |
+
</layer>
|
| 91 |
+
</layers>
|
| 92 |
+
<edges>
|
| 93 |
+
<edge from-layer="0" from-port="0" to-layer="3" to-port="0" />
|
| 94 |
+
<edge from-layer="1" from-port="0" to-layer="2" to-port="0" />
|
| 95 |
+
<edge from-layer="2" from-port="1" to-layer="5" to-port="0" />
|
| 96 |
+
<edge from-layer="3" from-port="1" to-layer="5" to-port="1" />
|
| 97 |
+
<edge from-layer="4" from-port="0" to-layer="5" to-port="2" />
|
| 98 |
+
<edge from-layer="5" from-port="3" to-layer="6" to-port="0" />
|
| 99 |
+
</edges>
|
| 100 |
+
<rt_info>
|
| 101 |
+
<Runtime_version value="2025.2.0-19140-c01cd93e24d-releases/2025/2" />
|
| 102 |
+
<conversion_parameters>
|
| 103 |
+
<framework value="pytorch" />
|
| 104 |
+
<is_python_object value="True" />
|
| 105 |
+
</conversion_parameters>
|
| 106 |
+
<optimum>
|
| 107 |
+
<optimum_intel_version value="1.26.0.dev0+e9c57b9" />
|
| 108 |
+
<optimum_version value="1.27.0" />
|
| 109 |
+
<pytorch_version value="2.8.0+cpu" />
|
| 110 |
+
<transformers_version value="4.53.3" />
|
| 111 |
+
</optimum>
|
| 112 |
+
</rt_info>
|
| 113 |
+
</net>
|
openvino_tokenizer.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:633406a5b0a1bf6f559f2f8ef1faba7d5809ff4ee7787d7923dc7b3064d8f42f
|
| 3 |
+
size 5588129
|
openvino_tokenizer.xml
ADDED
|
@@ -0,0 +1,722 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<net name="tokenizer" version="11">
|
| 3 |
+
<layers>
|
| 4 |
+
<layer id="0" name="Parameter_192517" type="Parameter" version="opset1">
|
| 5 |
+
<data shape="?" element_type="string" />
|
| 6 |
+
<output>
|
| 7 |
+
<port id="0" precision="STRING" names="Parameter_192517">
|
| 8 |
+
<dim>-1</dim>
|
| 9 |
+
</port>
|
| 10 |
+
</output>
|
| 11 |
+
</layer>
|
| 12 |
+
<layer id="1" name="Constant_192523" 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_192518" type="StringTensorUnpack" version="opset15">
|
| 19 |
+
<input>
|
| 20 |
+
<port id="0" precision="STRING">
|
| 21 |
+
<dim>-1</dim>
|
| 22 |
+
</port>
|
| 23 |
+
</input>
|
| 24 |
+
<output>
|
| 25 |
+
<port id="1" precision="I32">
|
| 26 |
+
<dim>-1</dim>
|
| 27 |
+
</port>
|
| 28 |
+
<port id="2" precision="I32">
|
| 29 |
+
<dim>-1</dim>
|
| 30 |
+
</port>
|
| 31 |
+
<port id="3" precision="U8">
|
| 32 |
+
<dim>-1</dim>
|
| 33 |
+
</port>
|
| 34 |
+
</output>
|
| 35 |
+
</layer>
|
| 36 |
+
<layer id="3" name="ShapeOf_192519" type="ShapeOf" version="opset3">
|
| 37 |
+
<data output_type="i64" />
|
| 38 |
+
<input>
|
| 39 |
+
<port id="0" precision="I32">
|
| 40 |
+
<dim>-1</dim>
|
| 41 |
+
</port>
|
| 42 |
+
</input>
|
| 43 |
+
<output>
|
| 44 |
+
<port id="1" precision="I64">
|
| 45 |
+
<dim>1</dim>
|
| 46 |
+
</port>
|
| 47 |
+
</output>
|
| 48 |
+
</layer>
|
| 49 |
+
<layer id="4" name="Constant_192520" 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_192521" 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_192522" type="Gather" version="opset8">
|
| 62 |
+
<data batch_dims="0" />
|
| 63 |
+
<input>
|
| 64 |
+
<port id="0" precision="I64">
|
| 65 |
+
<dim>1</dim>
|
| 66 |
+
</port>
|
| 67 |
+
<port id="1" precision="I64" />
|
| 68 |
+
<port id="2" precision="I64" />
|
| 69 |
+
</input>
|
| 70 |
+
<output>
|
| 71 |
+
<port id="3" precision="I64" />
|
| 72 |
+
</output>
|
| 73 |
+
</layer>
|
| 74 |
+
<layer id="7" name="Constant_192524" 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_192525" type="Range" version="opset4">
|
| 81 |
+
<data output_type="i32" />
|
| 82 |
+
<input>
|
| 83 |
+
<port id="0" precision="I64" />
|
| 84 |
+
<port id="1" precision="I64" />
|
| 85 |
+
<port id="2" precision="I64" />
|
| 86 |
+
</input>
|
| 87 |
+
<output>
|
| 88 |
+
<port id="3" precision="I32">
|
| 89 |
+
<dim>-1</dim>
|
| 90 |
+
</port>
|
| 91 |
+
</output>
|
| 92 |
+
</layer>
|
| 93 |
+
<layer id="9" name="Constant_192526" 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_192527" 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_192528" type="Add" version="opset1">
|
| 106 |
+
<data auto_broadcast="numpy" />
|
| 107 |
+
<input>
|
| 108 |
+
<port id="0" precision="I64" />
|
| 109 |
+
<port id="1" precision="I64" />
|
| 110 |
+
</input>
|
| 111 |
+
<output>
|
| 112 |
+
<port id="2" precision="I64" />
|
| 113 |
+
</output>
|
| 114 |
+
</layer>
|
| 115 |
+
<layer id="12" name="Constant_192529" 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_192530" type="Range" version="opset4">
|
| 122 |
+
<data output_type="i32" />
|
| 123 |
+
<input>
|
| 124 |
+
<port id="0" precision="I64" />
|
| 125 |
+
<port id="1" precision="I64" />
|
| 126 |
+
<port id="2" precision="I64" />
|
| 127 |
+
</input>
|
| 128 |
+
<output>
|
| 129 |
+
<port id="3" precision="I32">
|
| 130 |
+
<dim>-1</dim>
|
| 131 |
+
</port>
|
| 132 |
+
</output>
|
| 133 |
+
</layer>
|
| 134 |
+
<layer id="14" name="Constant_192592" type="Const" version="opset1">
|
| 135 |
+
<data element_type="u8" shape="290" offset="16" size="290" />
|
| 136 |
+
<output>
|
| 137 |
+
<port id="0" precision="U8">
|
| 138 |
+
<dim>290</dim>
|
| 139 |
+
</port>
|
| 140 |
+
</output>
|
| 141 |
+
</layer>
|
| 142 |
+
<layer id="15" name="SpecialTokensSplit_192593" type="SpecialTokensSplit" version="extension">
|
| 143 |
+
<input>
|
| 144 |
+
<port id="0" precision="I32">
|
| 145 |
+
<dim>-1</dim>
|
| 146 |
+
</port>
|
| 147 |
+
<port id="1" precision="I32">
|
| 148 |
+
<dim>-1</dim>
|
| 149 |
+
</port>
|
| 150 |
+
<port id="2" precision="I32">
|
| 151 |
+
<dim>-1</dim>
|
| 152 |
+
</port>
|
| 153 |
+
<port id="3" precision="I32">
|
| 154 |
+
<dim>-1</dim>
|
| 155 |
+
</port>
|
| 156 |
+
<port id="4" precision="U8">
|
| 157 |
+
<dim>-1</dim>
|
| 158 |
+
</port>
|
| 159 |
+
<port id="5" precision="U8">
|
| 160 |
+
<dim>290</dim>
|
| 161 |
+
</port>
|
| 162 |
+
</input>
|
| 163 |
+
<output>
|
| 164 |
+
<port id="6" precision="I32">
|
| 165 |
+
<dim>-1</dim>
|
| 166 |
+
</port>
|
| 167 |
+
<port id="7" precision="I32">
|
| 168 |
+
<dim>-1</dim>
|
| 169 |
+
</port>
|
| 170 |
+
<port id="8" precision="I32">
|
| 171 |
+
<dim>-1</dim>
|
| 172 |
+
</port>
|
| 173 |
+
<port id="9" precision="I32">
|
| 174 |
+
<dim>-1</dim>
|
| 175 |
+
</port>
|
| 176 |
+
<port id="10" precision="U8">
|
| 177 |
+
<dim>-1</dim>
|
| 178 |
+
</port>
|
| 179 |
+
<port id="11" precision="BOOL">
|
| 180 |
+
<dim>-1</dim>
|
| 181 |
+
</port>
|
| 182 |
+
</output>
|
| 183 |
+
</layer>
|
| 184 |
+
<layer id="16" name="CharsMapNormalization_192594" 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">
|
| 188 |
+
<dim>-1</dim>
|
| 189 |
+
</port>
|
| 190 |
+
<port id="1" precision="I32">
|
| 191 |
+
<dim>-1</dim>
|
| 192 |
+
</port>
|
| 193 |
+
<port id="2" precision="U8">
|
| 194 |
+
<dim>-1</dim>
|
| 195 |
+
</port>
|
| 196 |
+
<port id="3" precision="BOOL">
|
| 197 |
+
<dim>-1</dim>
|
| 198 |
+
</port>
|
| 199 |
+
</input>
|
| 200 |
+
<output>
|
| 201 |
+
<port id="4" precision="I32">
|
| 202 |
+
<dim>-1</dim>
|
| 203 |
+
</port>
|
| 204 |
+
<port id="5" precision="I32">
|
| 205 |
+
<dim>-1</dim>
|
| 206 |
+
</port>
|
| 207 |
+
<port id="6" precision="U8">
|
| 208 |
+
<dim>-1</dim>
|
| 209 |
+
</port>
|
| 210 |
+
<port id="7" precision="BOOL">
|
| 211 |
+
<dim>-1</dim>
|
| 212 |
+
</port>
|
| 213 |
+
</output>
|
| 214 |
+
</layer>
|
| 215 |
+
<layer id="17" name="Constant_192596" type="Const" version="opset1">
|
| 216 |
+
<data element_type="u8" shape="110" offset="306" size="110" />
|
| 217 |
+
<output>
|
| 218 |
+
<port id="0" precision="U8">
|
| 219 |
+
<dim>110</dim>
|
| 220 |
+
</port>
|
| 221 |
+
</output>
|
| 222 |
+
</layer>
|
| 223 |
+
<layer id="18" name="RegexSplit_192597" type="RegexSplit" version="extension">
|
| 224 |
+
<data behaviour="isolate" invert="false" max_splits="-1" />
|
| 225 |
+
<input>
|
| 226 |
+
<port id="0" precision="I32">
|
| 227 |
+
<dim>-1</dim>
|
| 228 |
+
</port>
|
| 229 |
+
<port id="1" precision="I32">
|
| 230 |
+
<dim>-1</dim>
|
| 231 |
+
</port>
|
| 232 |
+
<port id="2" precision="I32">
|
| 233 |
+
<dim>-1</dim>
|
| 234 |
+
</port>
|
| 235 |
+
<port id="3" precision="I32">
|
| 236 |
+
<dim>-1</dim>
|
| 237 |
+
</port>
|
| 238 |
+
<port id="4" precision="U8">
|
| 239 |
+
<dim>-1</dim>
|
| 240 |
+
</port>
|
| 241 |
+
<port id="5" precision="BOOL">
|
| 242 |
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<dim>-1</dim>
|
| 243 |
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|
| 244 |
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|
| 245 |
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|
| 246 |
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</port>
|
| 247 |
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</input>
|
| 248 |
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<output>
|
| 249 |
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|
| 250 |
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|
| 251 |
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|
| 252 |
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|
| 253 |
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|
| 254 |
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| 255 |
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|
| 256 |
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|
| 257 |
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| 258 |
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| 259 |
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| 260 |
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| 261 |
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| 262 |
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|
| 263 |
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| 264 |
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|
| 265 |
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<dim>-1</dim>
|
| 266 |
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</port>
|
| 267 |
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</output>
|
| 268 |
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</layer>
|
| 269 |
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<layer id="19" name="Constant_192599" type="Const" version="opset1">
|
| 270 |
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|
| 271 |
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<output>
|
| 272 |
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<port id="0" precision="I32">
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| 273 |
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|
| 274 |
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</port>
|
| 275 |
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</output>
|
| 276 |
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</layer>
|
| 277 |
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<layer id="20" name="Constant_192601" type="Const" version="opset1">
|
| 278 |
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|
| 279 |
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<output>
|
| 280 |
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<port id="0" precision="I32">
|
| 281 |
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|
| 282 |
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</port>
|
| 283 |
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|
| 284 |
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</layer>
|
| 285 |
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<layer id="21" name="Constant_192603" type="Const" version="opset1">
|
| 286 |
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|
| 287 |
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<output>
|
| 288 |
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<port id="0" precision="U8">
|
| 289 |
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<dim>976162</dim>
|
| 290 |
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</port>
|
| 291 |
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</output>
|
| 292 |
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</layer>
|
| 293 |
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<layer id="22" name="Constant_192611" type="Const" version="opset1">
|
| 294 |
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|
| 295 |
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<output>
|
| 296 |
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<port id="0" precision="I32">
|
| 297 |
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|
| 298 |
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</port>
|
| 299 |
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</output>
|
| 300 |
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</layer>
|
| 301 |
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<layer id="23" name="Constant_192613" type="Const" version="opset1">
|
| 302 |
+
<data element_type="i32" shape="151387" offset="2795382" size="605548" />
|
| 303 |
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<output>
|
| 304 |
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<port id="0" precision="I32">
|
| 305 |
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<dim>151387</dim>
|
| 306 |
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</port>
|
| 307 |
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</output>
|
| 308 |
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</layer>
|
| 309 |
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<layer id="24" name="Constant_192615" type="Const" version="opset1">
|
| 310 |
+
<data element_type="u8" shape="491359" offset="3400930" size="491359" />
|
| 311 |
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<output>
|
| 312 |
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<port id="0" precision="U8">
|
| 313 |
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<dim>491359</dim>
|
| 314 |
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</port>
|
| 315 |
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</output>
|
| 316 |
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</layer>
|
| 317 |
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<layer id="25" name="Constant_192617" type="Const" version="opset1">
|
| 318 |
+
<data element_type="i32" shape="151387" offset="3892289" size="605548" />
|
| 319 |
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<output>
|
| 320 |
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<port id="0" precision="I32">
|
| 321 |
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<dim>151387</dim>
|
| 322 |
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</port>
|
| 323 |
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</output>
|
| 324 |
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</layer>
|
| 325 |
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<layer id="26" name="Constant_192619" type="Const" version="opset1">
|
| 326 |
+
<data element_type="i32" shape="151387" offset="4497837" size="605548" />
|
| 327 |
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<output>
|
| 328 |
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<port id="0" precision="I32">
|
| 329 |
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<dim>151387</dim>
|
| 330 |
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</port>
|
| 331 |
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</output>
|
| 332 |
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</layer>
|
| 333 |
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<layer id="27" name="Constant_192621" type="Const" version="opset1">
|
| 334 |
+
<data element_type="u8" shape="484354" offset="5103385" size="484354" />
|
| 335 |
+
<output>
|
| 336 |
+
<port id="0" precision="U8">
|
| 337 |
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<dim>484354</dim>
|
| 338 |
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</port>
|
| 339 |
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</output>
|
| 340 |
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</layer>
|
| 341 |
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<layer id="28" name="Constant_192605" type="Const" version="opset1">
|
| 342 |
+
<data element_type="i32" shape="14" offset="5587739" size="56" />
|
| 343 |
+
<output>
|
| 344 |
+
<port id="0" precision="I32">
|
| 345 |
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<dim>14</dim>
|
| 346 |
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</port>
|
| 347 |
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</output>
|
| 348 |
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</layer>
|
| 349 |
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<layer id="29" name="Constant_192607" type="Const" version="opset1">
|
| 350 |
+
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|
| 351 |
+
<output>
|
| 352 |
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<port id="0" precision="I32">
|
| 353 |
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<dim>14</dim>
|
| 354 |
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</port>
|
| 355 |
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</output>
|
| 356 |
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</layer>
|
| 357 |
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<layer id="30" name="Constant_192609" type="Const" version="opset1">
|
| 358 |
+
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|
| 359 |
+
<output>
|
| 360 |
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<port id="0" precision="U8">
|
| 361 |
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<dim>193</dim>
|
| 362 |
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</port>
|
| 363 |
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</output>
|
| 364 |
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</layer>
|
| 365 |
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<layer id="31" name="Constant_192622" type="Const" version="opset1">
|
| 366 |
+
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|
| 367 |
+
<output>
|
| 368 |
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<port id="0" precision="I32">
|
| 369 |
+
<dim>14</dim>
|
| 370 |
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</port>
|
| 371 |
+
</output>
|
| 372 |
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</layer>
|
| 373 |
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<layer id="32" name="BPETokenizer_192623" type="BPETokenizer" version="extension">
|
| 374 |
+
<data unk_token="" fuse_unk="false" suffix_indicator="" end_suffix="" byte_fallback="false" cache_capacity="30328" />
|
| 375 |
+
<input>
|
| 376 |
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|
| 377 |
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<dim>-1</dim>
|
| 378 |
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|
| 379 |
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|
| 380 |
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<dim>-1</dim>
|
| 381 |
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|
| 382 |
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|
| 383 |
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<dim>-1</dim>
|
| 384 |
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|
| 385 |
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|
| 386 |
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<dim>-1</dim>
|
| 387 |
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|
| 388 |
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|
| 389 |
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<dim>-1</dim>
|
| 390 |
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|
| 391 |
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|
| 392 |
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|
| 393 |
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|
| 394 |
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|
| 395 |
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|
| 396 |
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|
| 397 |
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|
| 398 |
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|
| 399 |
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|
| 400 |
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|
| 401 |
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|
| 402 |
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|
| 403 |
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|
| 404 |
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|
| 405 |
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|
| 406 |
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|
| 407 |
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|
| 408 |
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|
| 409 |
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|
| 410 |
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|
| 411 |
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|
| 412 |
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|
| 413 |
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|
| 414 |
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|
| 415 |
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|
| 416 |
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|
| 417 |
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|
| 418 |
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|
| 419 |
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|
| 420 |
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|
| 421 |
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|
| 422 |
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|
| 423 |
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|
| 424 |
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|
| 425 |
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<dim>193</dim>
|
| 426 |
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|
| 427 |
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|
| 428 |
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<dim>14</dim>
|
| 429 |
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|
| 430 |
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|
| 431 |
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|
| 432 |
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|
| 433 |
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|
| 434 |
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| 435 |
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|
| 436 |
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<dim>-1</dim>
|
| 437 |
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| 438 |
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|
| 439 |
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<dim>-1</dim>
|
| 440 |
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| 441 |
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| 442 |
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| 443 |
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|
| 444 |
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|
| 445 |
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<output>
|
| 446 |
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<port id="0" precision="I32" />
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| 447 |
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| 448 |
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| 449 |
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|
| 450 |
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|
| 451 |
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<output>
|
| 452 |
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<port id="0" precision="U8">
|
| 453 |
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<dim>4</dim>
|
| 454 |
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</port>
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| 455 |
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</output>
|
| 456 |
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</layer>
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| 457 |
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|
| 458 |
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|
| 459 |
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<output>
|
| 460 |
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<port id="0" precision="U8">
|
| 461 |
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<dim>13</dim>
|
| 462 |
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</port>
|
| 463 |
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</output>
|
| 464 |
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</layer>
|
| 465 |
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<layer id="36" name="Truncate_192629" type="Truncate" version="extension">
|
| 466 |
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<data m_num_inputs="1" />
|
| 467 |
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|
| 468 |
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|
| 469 |
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<dim>-1</dim>
|
| 470 |
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| 471 |
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|
| 472 |
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|
| 473 |
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|
| 474 |
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|
| 475 |
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|
| 476 |
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|
| 477 |
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|
| 478 |
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|
| 479 |
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<dim>4</dim>
|
| 480 |
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|
| 481 |
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<port id="5" precision="U8">
|
| 482 |
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<dim>13</dim>
|
| 483 |
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</port>
|
| 484 |
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|
| 485 |
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<output>
|
| 486 |
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|
| 487 |
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<dim>-1</dim>
|
| 488 |
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|
| 489 |
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|
| 490 |
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|
| 491 |
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|
| 492 |
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|
| 493 |
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<dim>-1</dim>
|
| 494 |
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|
| 495 |
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|
| 496 |
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|
| 497 |
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|
| 498 |
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<data auto_broadcast="numpy" />
|
| 499 |
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|
| 500 |
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<port id="0" precision="I32">
|
| 501 |
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<dim>-1</dim>
|
| 502 |
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| 503 |
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|
| 504 |
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<dim>-1</dim>
|
| 505 |
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|
| 506 |
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|
| 507 |
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|
| 508 |
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|
| 509 |
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<dim>-1</dim>
|
| 510 |
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| 511 |
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|
| 512 |
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|
| 513 |
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|
| 514 |
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|
| 515 |
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<output>
|
| 516 |
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<port id="0" precision="I32" />
|
| 517 |
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</output>
|
| 518 |
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</layer>
|
| 519 |
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|
| 520 |
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<data keep_dims="false" />
|
| 521 |
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<input>
|
| 522 |
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<port id="0" precision="I32">
|
| 523 |
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<dim>-1</dim>
|
| 524 |
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| 525 |
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|
| 526 |
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|
| 527 |
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|
| 528 |
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|
| 529 |
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|
| 530 |
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| 531 |
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|
| 532 |
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|
| 533 |
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<output>
|
| 534 |
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<port id="0" precision="I32" />
|
| 535 |
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</output>
|
| 536 |
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</layer>
|
| 537 |
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<layer id="41" name="RaggedToDense_192634" type="RaggedToDense" version="extension">
|
| 538 |
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<data pad_right="false" m_pad_max_length="false" />
|
| 539 |
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<input>
|
| 540 |
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<port id="0" precision="I32">
|
| 541 |
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<dim>-1</dim>
|
| 542 |
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| 543 |
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|
| 544 |
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<dim>-1</dim>
|
| 545 |
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|
| 546 |
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|
| 547 |
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<dim>-1</dim>
|
| 548 |
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|
| 549 |
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|
| 550 |
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|
| 551 |
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| 552 |
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<output>
|
| 553 |
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<port id="5" precision="I32">
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| 554 |
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<dim>-1</dim>
|
| 555 |
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<dim>-1</dim>
|
| 556 |
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</port>
|
| 557 |
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|
| 558 |
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<dim>-1</dim>
|
| 559 |
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<dim>-1</dim>
|
| 560 |
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</port>
|
| 561 |
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</output>
|
| 562 |
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|
| 563 |
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|
| 564 |
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<data destination_type="i32" />
|
| 565 |
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<input>
|
| 566 |
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<port id="0" precision="BOOL">
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| 567 |
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<dim>-1</dim>
|
| 568 |
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<dim>-1</dim>
|
| 569 |
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</port>
|
| 570 |
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| 571 |
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<output>
|
| 572 |
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|
| 573 |
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<dim>-1</dim>
|
| 574 |
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<dim>-1</dim>
|
| 575 |
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</port>
|
| 576 |
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</output>
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| 577 |
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| 578 |
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|
| 579 |
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<data destination_type="i64" />
|
| 580 |
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|
| 581 |
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<port id="0" precision="I32">
|
| 582 |
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<dim>-1</dim>
|
| 583 |
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<dim>-1</dim>
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| 584 |
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</port>
|
| 585 |
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</input>
|
| 586 |
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<output>
|
| 587 |
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<port id="1" precision="I64" names="attention_mask">
|
| 588 |
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<dim>-1</dim>
|
| 589 |
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<dim>-1</dim>
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| 590 |
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</port>
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| 591 |
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| 592 |
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| 593 |
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|
| 594 |
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<data destination_type="i64" />
|
| 595 |
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<input>
|
| 596 |
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<port id="0" precision="I32">
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| 597 |
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<dim>-1</dim>
|
| 598 |
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<dim>-1</dim>
|
| 599 |
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</port>
|
| 600 |
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</input>
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| 601 |
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<output>
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| 602 |
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<port id="1" precision="I64" names="input_ids">
|
| 603 |
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<dim>-1</dim>
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| 604 |
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<dim>-1</dim>
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| 605 |
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</port>
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| 606 |
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</output>
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| 607 |
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</layer>
|
| 608 |
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|
| 609 |
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<input>
|
| 610 |
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| 611 |
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<dim>-1</dim>
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| 612 |
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<dim>-1</dim>
|
| 613 |
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</port>
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| 614 |
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| 615 |
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| 616 |
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| 617 |
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| 618 |
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| 619 |
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<dim>-1</dim>
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| 620 |
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|
| 621 |
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| 695 |
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<rt_info>
|
| 696 |
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|
| 697 |
+
<add_prefix_space />
|
| 698 |
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<add_special_tokens value="True" />
|
| 699 |
+
<chat_template value="{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system You are a helpful assistant.<|im_end|> {% endif %}<|im_start|>{{ message['role'] }} {% if message['content'] is string %}{{ message['content'] }}<|im_end|> {% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|> {% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant {% endif %}" />
|
| 700 |
+
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|
| 701 |
+
<detokenizer_input_type value="i64" />
|
| 702 |
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<eos_token_id value="151645" />
|
| 703 |
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|
| 704 |
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<max_length />
|
| 705 |
+
<number_of_inputs value="1" />
|
| 706 |
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<openvino_tokenizers_version value="2025.2.0.1-567-7885335c24b" />
|
| 707 |
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<openvino_version value="2025.2.0-19140-c01cd93e24d-releases/2025/2" />
|
| 708 |
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|
| 709 |
+
<original_tokenizer_class value="<class 'transformers.models.qwen2.tokenization_qwen2_fast.Qwen2TokenizerFast'>" />
|
| 710 |
+
<pad_token_id value="151643" />
|
| 711 |
+
<simplified_chat_template value="{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system You are a helpful assistant.<|im_end|> ' }}{% endif %}{{ '<|im_start|>' + message['role'] + ' ' + message['content'] + '<|im_end|>' + ' ' }}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant ' }}{% endif %}" />
|
| 712 |
+
<skip_special_tokens value="True" />
|
| 713 |
+
<streaming_detokenizer value="False" />
|
| 714 |
+
<tokenizer_output_type value="i64" />
|
| 715 |
+
<tokenizers_version value="0.21.4" />
|
| 716 |
+
<transformers_version value="4.53.3" />
|
| 717 |
+
<use_max_padding value="False" />
|
| 718 |
+
<use_sentencepiece_backend value="False" />
|
| 719 |
+
<utf8_replace_mode value="replace" />
|
| 720 |
+
<with_detokenizer value="True" />
|
| 721 |
+
</rt_info>
|
| 722 |
+
</net>
|
openvino_vision_embeddings_merger_model.bin
ADDED
|
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size 1348507814
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openvino_vision_embeddings_merger_model.xml
ADDED
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The diff for this file is too large to render.
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openvino_vision_embeddings_model.bin
ADDED
|
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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openvino_vision_embeddings_model.xml
ADDED
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|
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|
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|
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|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<net name="Model3" version="11">
|
| 3 |
+
<layers>
|
| 4 |
+
<layer id="0" name="hidden_states" type="Parameter" version="opset1">
|
| 5 |
+
<data shape="?,?" element_type="f32" />
|
| 6 |
+
<output>
|
| 7 |
+
<port id="0" precision="FP32" names="hidden_states">
|
| 8 |
+
<dim>-1</dim>
|
| 9 |
+
<dim>-1</dim>
|
| 10 |
+
</port>
|
| 11 |
+
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|
| 12 |
+
</layer>
|
| 13 |
+
<layer id="1" name="Constant_101513" type="Const" version="opset1">
|
| 14 |
+
<data element_type="i64" shape="5" offset="0" size="40" />
|
| 15 |
+
<rt_info>
|
| 16 |
+
<attribute name="precise" version="0" />
|
| 17 |
+
</rt_info>
|
| 18 |
+
<output>
|
| 19 |
+
<port id="0" precision="I64" names="8">
|
| 20 |
+
<dim>5</dim>
|
| 21 |
+
</port>
|
| 22 |
+
</output>
|
| 23 |
+
</layer>
|
| 24 |
+
<layer id="2" name="aten::view/Reshape" type="Reshape" version="opset1">
|
| 25 |
+
<data special_zero="false" />
|
| 26 |
+
<input>
|
| 27 |
+
<port id="0" precision="FP32">
|
| 28 |
+
<dim>-1</dim>
|
| 29 |
+
<dim>-1</dim>
|
| 30 |
+
</port>
|
| 31 |
+
<port id="1" precision="I64">
|
| 32 |
+
<dim>5</dim>
|
| 33 |
+
</port>
|
| 34 |
+
</input>
|
| 35 |
+
<output>
|
| 36 |
+
<port id="2" precision="FP32" names="14,9,hidden_states_1,input">
|
| 37 |
+
<dim>-1</dim>
|
| 38 |
+
<dim>3</dim>
|
| 39 |
+
<dim>2</dim>
|
| 40 |
+
<dim>14</dim>
|
| 41 |
+
<dim>14</dim>
|
| 42 |
+
</port>
|
| 43 |
+
</output>
|
| 44 |
+
</layer>
|
| 45 |
+
<layer id="3" name="self.proj.weight_compressed" type="Const" version="opset1">
|
| 46 |
+
<data element_type="f16" shape="1280, 3, 2, 14, 14" offset="40" size="3010560" />
|
| 47 |
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<output>
|
| 48 |
+
<port id="0" precision="FP16" names="self.proj.weight">
|
| 49 |
+
<dim>1280</dim>
|
| 50 |
+
<dim>3</dim>
|
| 51 |
+
<dim>2</dim>
|
| 52 |
+
<dim>14</dim>
|
| 53 |
+
<dim>14</dim>
|
| 54 |
+
</port>
|
| 55 |
+
</output>
|
| 56 |
+
</layer>
|
| 57 |
+
<layer id="4" name="self.proj.weight" type="Convert" version="opset1">
|
| 58 |
+
<data destination_type="f32" />
|
| 59 |
+
<rt_info>
|
| 60 |
+
<attribute name="decompression" version="0" />
|
| 61 |
+
</rt_info>
|
| 62 |
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<input>
|
| 63 |
+
<port id="0" precision="FP16">
|
| 64 |
+
<dim>1280</dim>
|
| 65 |
+
<dim>3</dim>
|
| 66 |
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<dim>2</dim>
|
| 67 |
+
<dim>14</dim>
|
| 68 |
+
<dim>14</dim>
|
| 69 |
+
</port>
|
| 70 |
+
</input>
|
| 71 |
+
<output>
|
| 72 |
+
<port id="1" precision="FP32">
|
| 73 |
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<dim>1280</dim>
|
| 74 |
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<dim>3</dim>
|
| 75 |
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<dim>2</dim>
|
| 76 |
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|
| 77 |
+
<dim>14</dim>
|
| 78 |
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</port>
|
| 79 |
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</output>
|
| 80 |
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</layer>
|
| 81 |
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<layer id="5" name="__module.proj/aten::_convolution/Convolution" type="Convolution" version="opset1">
|
| 82 |
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<data strides="2, 14, 14" dilations="1, 1, 1" pads_begin="0, 0, 0" pads_end="0, 0, 0" auto_pad="explicit" />
|
| 83 |
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<input>
|
| 84 |
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<port id="0" precision="FP32">
|
| 85 |
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<dim>-1</dim>
|
| 86 |
+
<dim>3</dim>
|
| 87 |
+
<dim>2</dim>
|
| 88 |
+
<dim>14</dim>
|
| 89 |
+
<dim>14</dim>
|
| 90 |
+
</port>
|
| 91 |
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<port id="1" precision="FP32">
|
| 92 |
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<dim>1280</dim>
|
| 93 |
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<dim>3</dim>
|
| 94 |
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<dim>2</dim>
|
| 95 |
+
<dim>14</dim>
|
| 96 |
+
<dim>14</dim>
|
| 97 |
+
</port>
|
| 98 |
+
</input>
|
| 99 |
+
<output>
|
| 100 |
+
<port id="2" precision="FP32" names="33">
|
| 101 |
+
<dim>-1</dim>
|
| 102 |
+
<dim>1280</dim>
|
| 103 |
+
<dim>1</dim>
|
| 104 |
+
<dim>1</dim>
|
| 105 |
+
<dim>1</dim>
|
| 106 |
+
</port>
|
| 107 |
+
</output>
|
| 108 |
+
</layer>
|
| 109 |
+
<layer id="6" name="Constant_101560" type="Const" version="opset1">
|
| 110 |
+
<data element_type="i64" shape="2" offset="3010600" size="16" />
|
| 111 |
+
<rt_info>
|
| 112 |
+
<attribute name="precise" version="0" />
|
| 113 |
+
</rt_info>
|
| 114 |
+
<output>
|
| 115 |
+
<port id="0" precision="I64" names="18">
|
| 116 |
+
<dim>2</dim>
|
| 117 |
+
</port>
|
| 118 |
+
</output>
|
| 119 |
+
</layer>
|
| 120 |
+
<layer id="7" name="aten::view/Reshape_1" type="Reshape" version="opset1">
|
| 121 |
+
<data special_zero="false" />
|
| 122 |
+
<input>
|
| 123 |
+
<port id="0" precision="FP32">
|
| 124 |
+
<dim>-1</dim>
|
| 125 |
+
<dim>1280</dim>
|
| 126 |
+
<dim>1</dim>
|
| 127 |
+
<dim>1</dim>
|
| 128 |
+
<dim>1</dim>
|
| 129 |
+
</port>
|
| 130 |
+
<port id="1" precision="I64">
|
| 131 |
+
<dim>2</dim>
|
| 132 |
+
</port>
|
| 133 |
+
</input>
|
| 134 |
+
<output>
|
| 135 |
+
<port id="2" precision="FP32" names="last_hidden_state">
|
| 136 |
+
<dim>-1</dim>
|
| 137 |
+
<dim>1280</dim>
|
| 138 |
+
</port>
|
| 139 |
+
</output>
|
| 140 |
+
</layer>
|
| 141 |
+
<layer id="8" name="Result_101590" type="Result" version="opset1" output_names="last_hidden_state">
|
| 142 |
+
<input>
|
| 143 |
+
<port id="0" precision="FP32">
|
| 144 |
+
<dim>-1</dim>
|
| 145 |
+
<dim>1280</dim>
|
| 146 |
+
</port>
|
| 147 |
+
</input>
|
| 148 |
+
</layer>
|
| 149 |
+
</layers>
|
| 150 |
+
<edges>
|
| 151 |
+
<edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
|
| 152 |
+
<edge from-layer="1" from-port="0" to-layer="2" to-port="1" />
|
| 153 |
+
<edge from-layer="2" from-port="2" to-layer="5" to-port="0" />
|
| 154 |
+
<edge from-layer="3" from-port="0" to-layer="4" to-port="0" />
|
| 155 |
+
<edge from-layer="4" from-port="1" to-layer="5" to-port="1" />
|
| 156 |
+
<edge from-layer="5" from-port="2" to-layer="7" to-port="0" />
|
| 157 |
+
<edge from-layer="6" from-port="0" to-layer="7" to-port="1" />
|
| 158 |
+
<edge from-layer="7" from-port="2" to-layer="8" to-port="0" />
|
| 159 |
+
</edges>
|
| 160 |
+
<rt_info>
|
| 161 |
+
<Runtime_version value="2025.2.0-19140-c01cd93e24d-releases/2025/2" />
|
| 162 |
+
<conversion_parameters>
|
| 163 |
+
<framework value="pytorch" />
|
| 164 |
+
<is_python_object value="True" />
|
| 165 |
+
</conversion_parameters>
|
| 166 |
+
<optimum>
|
| 167 |
+
<optimum_intel_version value="1.26.0.dev0+e9c57b9" />
|
| 168 |
+
<optimum_version value="1.27.0" />
|
| 169 |
+
<pytorch_version value="2.8.0+cpu" />
|
| 170 |
+
<transformers_version value="4.53.3" />
|
| 171 |
+
</optimum>
|
| 172 |
+
</rt_info>
|
| 173 |
+
</net>
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_convert_rgb": true,
|
| 3 |
+
"do_normalize": true,
|
| 4 |
+
"do_rescale": true,
|
| 5 |
+
"do_resize": true,
|
| 6 |
+
"image_mean": [
|
| 7 |
+
0.48145466,
|
| 8 |
+
0.4578275,
|
| 9 |
+
0.40821073
|
| 10 |
+
],
|
| 11 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
| 12 |
+
"image_std": [
|
| 13 |
+
0.26862954,
|
| 14 |
+
0.26130258,
|
| 15 |
+
0.27577711
|
| 16 |
+
],
|
| 17 |
+
"max_pixels": 12845056,
|
| 18 |
+
"merge_size": 2,
|
| 19 |
+
"min_pixels": 3136,
|
| 20 |
+
"patch_size": 14,
|
| 21 |
+
"processor_class": "Qwen2VLProcessor",
|
| 22 |
+
"resample": 3,
|
| 23 |
+
"rescale_factor": 0.00392156862745098,
|
| 24 |
+
"size": {
|
| 25 |
+
"longest_edge": 12845056,
|
| 26 |
+
"shortest_edge": 3136
|
| 27 |
+
},
|
| 28 |
+
"temporal_patch_size": 2
|
| 29 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:091aa7594dc2fcfbfa06b9e3c22a5f0562ac14f30375c13af7309407a0e67b8a
|
| 3 |
+
size 11420371
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,144 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"151643": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"151644": {
|
| 13 |
+
"content": "<|im_start|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"151645": {
|
| 21 |
+
"content": "<|im_end|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"151646": {
|
| 29 |
+
"content": "<|object_ref_start|>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"151647": {
|
| 37 |
+
"content": "<|object_ref_end|>",
|
| 38 |
+
"lstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
},
|
| 44 |
+
"151648": {
|
| 45 |
+
"content": "<|box_start|>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false,
|
| 50 |
+
"special": true
|
| 51 |
+
},
|
| 52 |
+
"151649": {
|
| 53 |
+
"content": "<|box_end|>",
|
| 54 |
+
"lstrip": false,
|
| 55 |
+
"normalized": false,
|
| 56 |
+
"rstrip": false,
|
| 57 |
+
"single_word": false,
|
| 58 |
+
"special": true
|
| 59 |
+
},
|
| 60 |
+
"151650": {
|
| 61 |
+
"content": "<|quad_start|>",
|
| 62 |
+
"lstrip": false,
|
| 63 |
+
"normalized": false,
|
| 64 |
+
"rstrip": false,
|
| 65 |
+
"single_word": false,
|
| 66 |
+
"special": true
|
| 67 |
+
},
|
| 68 |
+
"151651": {
|
| 69 |
+
"content": "<|quad_end|>",
|
| 70 |
+
"lstrip": false,
|
| 71 |
+
"normalized": false,
|
| 72 |
+
"rstrip": false,
|
| 73 |
+
"single_word": false,
|
| 74 |
+
"special": true
|
| 75 |
+
},
|
| 76 |
+
"151652": {
|
| 77 |
+
"content": "<|vision_start|>",
|
| 78 |
+
"lstrip": false,
|
| 79 |
+
"normalized": false,
|
| 80 |
+
"rstrip": false,
|
| 81 |
+
"single_word": false,
|
| 82 |
+
"special": true
|
| 83 |
+
},
|
| 84 |
+
"151653": {
|
| 85 |
+
"content": "<|vision_end|>",
|
| 86 |
+
"lstrip": false,
|
| 87 |
+
"normalized": false,
|
| 88 |
+
"rstrip": false,
|
| 89 |
+
"single_word": false,
|
| 90 |
+
"special": true
|
| 91 |
+
},
|
| 92 |
+
"151654": {
|
| 93 |
+
"content": "<|vision_pad|>",
|
| 94 |
+
"lstrip": false,
|
| 95 |
+
"normalized": false,
|
| 96 |
+
"rstrip": false,
|
| 97 |
+
"single_word": false,
|
| 98 |
+
"special": true
|
| 99 |
+
},
|
| 100 |
+
"151655": {
|
| 101 |
+
"content": "<|image_pad|>",
|
| 102 |
+
"lstrip": false,
|
| 103 |
+
"normalized": false,
|
| 104 |
+
"rstrip": false,
|
| 105 |
+
"single_word": false,
|
| 106 |
+
"special": true
|
| 107 |
+
},
|
| 108 |
+
"151656": {
|
| 109 |
+
"content": "<|video_pad|>",
|
| 110 |
+
"lstrip": false,
|
| 111 |
+
"normalized": false,
|
| 112 |
+
"rstrip": false,
|
| 113 |
+
"single_word": false,
|
| 114 |
+
"special": true
|
| 115 |
+
}
|
| 116 |
+
},
|
| 117 |
+
"additional_special_tokens": [
|
| 118 |
+
"<|im_start|>",
|
| 119 |
+
"<|im_end|>",
|
| 120 |
+
"<|object_ref_start|>",
|
| 121 |
+
"<|object_ref_end|>",
|
| 122 |
+
"<|box_start|>",
|
| 123 |
+
"<|box_end|>",
|
| 124 |
+
"<|quad_start|>",
|
| 125 |
+
"<|quad_end|>",
|
| 126 |
+
"<|vision_start|>",
|
| 127 |
+
"<|vision_end|>",
|
| 128 |
+
"<|vision_pad|>",
|
| 129 |
+
"<|image_pad|>",
|
| 130 |
+
"<|video_pad|>"
|
| 131 |
+
],
|
| 132 |
+
"bos_token": null,
|
| 133 |
+
"clean_up_tokenization_spaces": false,
|
| 134 |
+
"eos_token": "<|im_end|>",
|
| 135 |
+
"errors": "replace",
|
| 136 |
+
"extra_special_tokens": {},
|
| 137 |
+
"model_max_length": 32768,
|
| 138 |
+
"pad_token": "<|endoftext|>",
|
| 139 |
+
"padding_side": "left",
|
| 140 |
+
"processor_class": "Qwen2VLProcessor",
|
| 141 |
+
"split_special_tokens": false,
|
| 142 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 143 |
+
"unk_token": null
|
| 144 |
+
}
|
video_preprocessor_config.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
| 1 |
+
{
|
| 2 |
+
"crop_size": null,
|
| 3 |
+
"data_format": "channels_first",
|
| 4 |
+
"default_to_square": true,
|
| 5 |
+
"device": null,
|
| 6 |
+
"do_center_crop": null,
|
| 7 |
+
"do_convert_rgb": true,
|
| 8 |
+
"do_normalize": true,
|
| 9 |
+
"do_pad": null,
|
| 10 |
+
"do_rescale": true,
|
| 11 |
+
"do_resize": true,
|
| 12 |
+
"do_sample_frames": false,
|
| 13 |
+
"fps": null,
|
| 14 |
+
"image_mean": [
|
| 15 |
+
0.48145466,
|
| 16 |
+
0.4578275,
|
| 17 |
+
0.40821073
|
| 18 |
+
],
|
| 19 |
+
"image_std": [
|
| 20 |
+
0.26862954,
|
| 21 |
+
0.26130258,
|
| 22 |
+
0.27577711
|
| 23 |
+
],
|
| 24 |
+
"input_data_format": null,
|
| 25 |
+
"max_frames": 768,
|
| 26 |
+
"max_pixels": 12845056,
|
| 27 |
+
"merge_size": 2,
|
| 28 |
+
"min_frames": 4,
|
| 29 |
+
"min_pixels": 3136,
|
| 30 |
+
"num_frames": null,
|
| 31 |
+
"patch_size": 14,
|
| 32 |
+
"processor_class": "Qwen2VLProcessor",
|
| 33 |
+
"resample": 3,
|
| 34 |
+
"rescale_factor": 0.00392156862745098,
|
| 35 |
+
"size": {
|
| 36 |
+
"longest_edge": 12845056,
|
| 37 |
+
"shortest_edge": 3136
|
| 38 |
+
},
|
| 39 |
+
"size_divisor": null,
|
| 40 |
+
"temporal_patch_size": 2,
|
| 41 |
+
"video_metadata": null,
|
| 42 |
+
"video_processor_type": "Qwen2VLVideoProcessor"
|
| 43 |
+
}
|
vocab.json
ADDED
|
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|