Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- added_tokens.json +28 -0
- chat_template.jinja +120 -0
- config.json +65 -0
- generation_config.json +13 -0
- merges.txt +0 -0
- openvino_config.json +29 -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 +176 -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 +290 -0
- openvino_vision_embeddings_pos_model.bin +3 -0
- openvino_vision_embeddings_pos_model.xml +176 -0
- preprocessor_config.json +37 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +240 -0
- video_preprocessor_config.json +42 -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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added_tokens.json
ADDED
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@@ -0,0 +1,28 @@
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{
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"</think>": 151668,
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"</tool_call>": 151658,
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"</tool_response>": 151666,
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"<think>": 151667,
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"<tool_call>": 151657,
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"<tool_response>": 151665,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{%- if messages[0].content is string %}
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{{- messages[0].content }}
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{%- else %}
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{%- for content in messages[0].content %}
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{%- if 'text' in content %}
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{{- content.text }}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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{{- '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].content is string %}
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{{- messages[0].content }}
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{%- else %}
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{%- for content in messages[0].content %}
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{%- if 'text' in content %}
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{{- content.text }}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set image_count = namespace(value=0) %}
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{%- set video_count = namespace(value=0) %}
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{%- for message in messages %}
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{%- if message.role == "user" %}
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{{- '<|im_start|>' + message.role + '\n' }}
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{%- if message.content is string %}
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{{- message.content }}
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{%- else %}
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{%- for content in message.content %}
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| 45 |
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{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
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{%- set image_count.value = image_count.value + 1 %}
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{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
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| 48 |
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<|vision_start|><|image_pad|><|vision_end|>
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| 49 |
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{%- elif content.type == 'video' or 'video' in content %}
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| 50 |
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{%- set video_count.value = video_count.value + 1 %}
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| 51 |
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{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
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| 52 |
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<|vision_start|><|video_pad|><|vision_end|>
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| 53 |
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{%- elif 'text' in content %}
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| 54 |
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{{- content.text }}
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| 55 |
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{%- endif %}
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| 56 |
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{%- endfor %}
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| 57 |
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{%- endif %}
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| 58 |
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{{- '<|im_end|>\n' }}
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| 59 |
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{%- elif message.role == "assistant" %}
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| 60 |
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{{- '<|im_start|>' + message.role + '\n' }}
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| 61 |
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{%- if message.content is string %}
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{{- message.content }}
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| 63 |
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{%- else %}
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| 64 |
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{%- for content_item in message.content %}
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| 65 |
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{%- if 'text' in content_item %}
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| 66 |
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{{- content_item.text }}
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| 67 |
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{%- endif %}
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| 68 |
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{%- endfor %}
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| 69 |
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{%- endif %}
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| 70 |
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{%- if message.tool_calls %}
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| 71 |
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{%- for tool_call in message.tool_calls %}
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| 72 |
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{%- if (loop.first and message.content) or (not loop.first) %}
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| 73 |
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{{- '\n' }}
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| 74 |
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{%- endif %}
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| 75 |
+
{%- if tool_call.function %}
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| 76 |
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{%- set tool_call = tool_call.function %}
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| 77 |
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{%- endif %}
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| 78 |
+
{{- '<tool_call>\n{"name": "' }}
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| 79 |
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{{- tool_call.name }}
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| 80 |
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{{- '", "arguments": ' }}
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| 81 |
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{%- if tool_call.arguments is string %}
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| 82 |
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{{- tool_call.arguments }}
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| 83 |
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{%- else %}
|
| 84 |
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{{- tool_call.arguments | tojson }}
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| 85 |
+
{%- endif %}
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| 86 |
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{{- '}\n</tool_call>' }}
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| 87 |
+
{%- endfor %}
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| 88 |
+
{%- endif %}
|
| 89 |
+
{{- '<|im_end|>\n' }}
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| 90 |
+
{%- elif message.role == "tool" %}
|
| 91 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 92 |
+
{{- '<|im_start|>user' }}
|
| 93 |
+
{%- endif %}
|
| 94 |
+
{{- '\n<tool_response>\n' }}
|
| 95 |
+
{%- if message.content is string %}
|
| 96 |
+
{{- message.content }}
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| 97 |
+
{%- else %}
|
| 98 |
+
{%- for content in message.content %}
|
| 99 |
+
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
|
| 100 |
+
{%- set image_count.value = image_count.value + 1 %}
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| 101 |
+
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
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| 102 |
+
<|vision_start|><|image_pad|><|vision_end|>
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| 103 |
+
{%- elif content.type == 'video' or 'video' in content %}
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| 104 |
+
{%- set video_count.value = video_count.value + 1 %}
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| 105 |
+
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
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| 106 |
+
<|vision_start|><|video_pad|><|vision_end|>
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| 107 |
+
{%- elif 'text' in content %}
|
| 108 |
+
{{- content.text }}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{%- endfor %}
|
| 111 |
+
{%- endif %}
|
| 112 |
+
{{- '\n</tool_response>' }}
|
| 113 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 114 |
+
{{- '<|im_end|>\n' }}
|
| 115 |
+
{%- endif %}
|
| 116 |
+
{%- endif %}
|
| 117 |
+
{%- endfor %}
|
| 118 |
+
{%- if add_generation_prompt %}
|
| 119 |
+
{{- '<|im_start|>assistant\n' }}
|
| 120 |
+
{%- endif %}
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config.json
ADDED
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| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3VLForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"dtype": "float32",
|
| 6 |
+
"image_token_id": 151655,
|
| 7 |
+
"model_type": "qwen3_vl",
|
| 8 |
+
"text_config": {
|
| 9 |
+
"attention_bias": false,
|
| 10 |
+
"attention_dropout": 0.0,
|
| 11 |
+
"bos_token_id": 151643,
|
| 12 |
+
"dtype": "float32",
|
| 13 |
+
"eos_token_id": 151645,
|
| 14 |
+
"head_dim": 128,
|
| 15 |
+
"hidden_act": "silu",
|
| 16 |
+
"hidden_size": 2048,
|
| 17 |
+
"initializer_range": 0.02,
|
| 18 |
+
"intermediate_size": 6144,
|
| 19 |
+
"max_position_embeddings": 262144,
|
| 20 |
+
"model_type": "qwen3_vl_text",
|
| 21 |
+
"num_attention_heads": 16,
|
| 22 |
+
"num_hidden_layers": 28,
|
| 23 |
+
"num_key_value_heads": 8,
|
| 24 |
+
"rms_norm_eps": 1e-06,
|
| 25 |
+
"rope_scaling": {
|
| 26 |
+
"mrope_interleaved": true,
|
| 27 |
+
"mrope_section": [
|
| 28 |
+
24,
|
| 29 |
+
20,
|
| 30 |
+
20
|
| 31 |
+
],
|
| 32 |
+
"rope_type": "default"
|
| 33 |
+
},
|
| 34 |
+
"rope_theta": 5000000,
|
| 35 |
+
"tie_word_embeddings": true,
|
| 36 |
+
"use_cache": true,
|
| 37 |
+
"vocab_size": 151936
|
| 38 |
+
},
|
| 39 |
+
"tie_word_embeddings": true,
|
| 40 |
+
"transformers_version": "4.57.0.dev0",
|
| 41 |
+
"video_token_id": 151656,
|
| 42 |
+
"vision_config": {
|
| 43 |
+
"deepstack_visual_indexes": [
|
| 44 |
+
5,
|
| 45 |
+
11,
|
| 46 |
+
17
|
| 47 |
+
],
|
| 48 |
+
"depth": 24,
|
| 49 |
+
"dtype": "float32",
|
| 50 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 51 |
+
"hidden_size": 1024,
|
| 52 |
+
"in_channels": 3,
|
| 53 |
+
"initializer_range": 0.02,
|
| 54 |
+
"intermediate_size": 4096,
|
| 55 |
+
"model_type": "qwen3_vl",
|
| 56 |
+
"num_heads": 16,
|
| 57 |
+
"num_position_embeddings": 2304,
|
| 58 |
+
"out_hidden_size": 2048,
|
| 59 |
+
"patch_size": 16,
|
| 60 |
+
"spatial_merge_size": 2,
|
| 61 |
+
"temporal_patch_size": 2
|
| 62 |
+
},
|
| 63 |
+
"vision_end_token_id": 151653,
|
| 64 |
+
"vision_start_token_id": 151652
|
| 65 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
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| 1 |
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{
|
| 2 |
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"bos_token_id": 151643,
|
| 3 |
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"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"temperature": 0.7,
|
| 10 |
+
"top_k": 20,
|
| 11 |
+
"top_p": 0.8,
|
| 12 |
+
"transformers_version": "4.57.0.dev0"
|
| 13 |
+
}
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merges.txt
ADDED
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openvino_config.json
ADDED
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@@ -0,0 +1,29 @@
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|
| 29 |
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|
openvino_language_model.bin
ADDED
|
@@ -0,0 +1,3 @@
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openvino_language_model.xml
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openvino_text_embeddings_model.bin
ADDED
|
@@ -0,0 +1,3 @@
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openvino_text_embeddings_model.xml
ADDED
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| 1 |
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| 3 |
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| 24 |
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| 35 |
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| 39 |
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| 48 |
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| 50 |
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| 51 |
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| 129 |
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|
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| 142 |
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| 143 |
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| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 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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|
| 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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|
| 169 |
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|
| 170 |
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|
| 171 |
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| 172 |
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|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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|
openvino_vision_embeddings_merger_model.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:9dad3c2974237e2e16db1691bc4f3c4870221864b77d2f509fe682518ba5c65a
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| 3 |
+
size 404627620
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openvino_vision_embeddings_merger_model.xml
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
openvino_vision_embeddings_model.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
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| 3 |
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size 1579064
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openvino_vision_embeddings_model.xml
ADDED
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@@ -0,0 +1,290 @@
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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 |
+
</output>
|
| 12 |
+
</layer>
|
| 13 |
+
<layer id="1" name="Constant_100925" type="Const" version="opset1">
|
| 14 |
+
<data element_type="i64" shape="5" offset="0" size="40" />
|
| 15 |
+
<output>
|
| 16 |
+
<port id="0" precision="I64" names="8">
|
| 17 |
+
<dim>5</dim>
|
| 18 |
+
</port>
|
| 19 |
+
</output>
|
| 20 |
+
</layer>
|
| 21 |
+
<layer id="2" name="aten::view/Reshape" type="Reshape" version="opset1">
|
| 22 |
+
<data special_zero="false" />
|
| 23 |
+
<input>
|
| 24 |
+
<port id="0" precision="FP32">
|
| 25 |
+
<dim>-1</dim>
|
| 26 |
+
<dim>-1</dim>
|
| 27 |
+
</port>
|
| 28 |
+
<port id="1" precision="I64">
|
| 29 |
+
<dim>5</dim>
|
| 30 |
+
</port>
|
| 31 |
+
</input>
|
| 32 |
+
<output>
|
| 33 |
+
<port id="2" precision="FP32" names="14,9,hidden_states_1,input">
|
| 34 |
+
<dim>-1</dim>
|
| 35 |
+
<dim>3</dim>
|
| 36 |
+
<dim>2</dim>
|
| 37 |
+
<dim>16</dim>
|
| 38 |
+
<dim>16</dim>
|
| 39 |
+
</port>
|
| 40 |
+
</output>
|
| 41 |
+
</layer>
|
| 42 |
+
<layer id="3" name="self.proj.weight" type="Const" version="opset1">
|
| 43 |
+
<data element_type="i8" shape="1024, 3, 2, 16, 16" offset="40" size="1572864" />
|
| 44 |
+
<output>
|
| 45 |
+
<port id="0" precision="I8">
|
| 46 |
+
<dim>1024</dim>
|
| 47 |
+
<dim>3</dim>
|
| 48 |
+
<dim>2</dim>
|
| 49 |
+
<dim>16</dim>
|
| 50 |
+
<dim>16</dim>
|
| 51 |
+
</port>
|
| 52 |
+
</output>
|
| 53 |
+
</layer>
|
| 54 |
+
<layer id="4" name="Convert_991615" type="Convert" version="opset1">
|
| 55 |
+
<data destination_type="f16" />
|
| 56 |
+
<input>
|
| 57 |
+
<port id="0" precision="I8">
|
| 58 |
+
<dim>1024</dim>
|
| 59 |
+
<dim>3</dim>
|
| 60 |
+
<dim>2</dim>
|
| 61 |
+
<dim>16</dim>
|
| 62 |
+
<dim>16</dim>
|
| 63 |
+
</port>
|
| 64 |
+
</input>
|
| 65 |
+
<output>
|
| 66 |
+
<port id="1" precision="FP16">
|
| 67 |
+
<dim>1024</dim>
|
| 68 |
+
<dim>3</dim>
|
| 69 |
+
<dim>2</dim>
|
| 70 |
+
<dim>16</dim>
|
| 71 |
+
<dim>16</dim>
|
| 72 |
+
</port>
|
| 73 |
+
</output>
|
| 74 |
+
</layer>
|
| 75 |
+
<layer id="5" name="self.proj.weight/scale" type="Const" version="opset1">
|
| 76 |
+
<data element_type="f16" shape="1024, 1, 1, 1, 1" offset="1572904" size="2048" />
|
| 77 |
+
<output>
|
| 78 |
+
<port id="0" precision="FP16">
|
| 79 |
+
<dim>1024</dim>
|
| 80 |
+
<dim>1</dim>
|
| 81 |
+
<dim>1</dim>
|
| 82 |
+
<dim>1</dim>
|
| 83 |
+
<dim>1</dim>
|
| 84 |
+
</port>
|
| 85 |
+
</output>
|
| 86 |
+
</layer>
|
| 87 |
+
<layer id="6" name="self.proj.weight/fq_weights_1" type="Multiply" version="opset1">
|
| 88 |
+
<data auto_broadcast="numpy" />
|
| 89 |
+
<input>
|
| 90 |
+
<port id="0" precision="FP16">
|
| 91 |
+
<dim>1024</dim>
|
| 92 |
+
<dim>3</dim>
|
| 93 |
+
<dim>2</dim>
|
| 94 |
+
<dim>16</dim>
|
| 95 |
+
<dim>16</dim>
|
| 96 |
+
</port>
|
| 97 |
+
<port id="1" precision="FP16">
|
| 98 |
+
<dim>1024</dim>
|
| 99 |
+
<dim>1</dim>
|
| 100 |
+
<dim>1</dim>
|
| 101 |
+
<dim>1</dim>
|
| 102 |
+
<dim>1</dim>
|
| 103 |
+
</port>
|
| 104 |
+
</input>
|
| 105 |
+
<output>
|
| 106 |
+
<port id="2" precision="FP16">
|
| 107 |
+
<dim>1024</dim>
|
| 108 |
+
<dim>3</dim>
|
| 109 |
+
<dim>2</dim>
|
| 110 |
+
<dim>16</dim>
|
| 111 |
+
<dim>16</dim>
|
| 112 |
+
</port>
|
| 113 |
+
</output>
|
| 114 |
+
</layer>
|
| 115 |
+
<layer id="7" name="self.proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
|
| 116 |
+
<data destination_type="f32" />
|
| 117 |
+
<input>
|
| 118 |
+
<port id="0" precision="FP16">
|
| 119 |
+
<dim>1024</dim>
|
| 120 |
+
<dim>3</dim>
|
| 121 |
+
<dim>2</dim>
|
| 122 |
+
<dim>16</dim>
|
| 123 |
+
<dim>16</dim>
|
| 124 |
+
</port>
|
| 125 |
+
</input>
|
| 126 |
+
<output>
|
| 127 |
+
<port id="1" precision="FP32">
|
| 128 |
+
<dim>1024</dim>
|
| 129 |
+
<dim>3</dim>
|
| 130 |
+
<dim>2</dim>
|
| 131 |
+
<dim>16</dim>
|
| 132 |
+
<dim>16</dim>
|
| 133 |
+
</port>
|
| 134 |
+
</output>
|
| 135 |
+
</layer>
|
| 136 |
+
<layer id="8" name="__module.proj/aten::_convolution/Convolution" type="Convolution" version="opset1">
|
| 137 |
+
<data strides="2, 16, 16" dilations="1, 1, 1" pads_begin="0, 0, 0" pads_end="0, 0, 0" auto_pad="explicit" />
|
| 138 |
+
<input>
|
| 139 |
+
<port id="0" precision="FP32">
|
| 140 |
+
<dim>-1</dim>
|
| 141 |
+
<dim>3</dim>
|
| 142 |
+
<dim>2</dim>
|
| 143 |
+
<dim>16</dim>
|
| 144 |
+
<dim>16</dim>
|
| 145 |
+
</port>
|
| 146 |
+
<port id="1" precision="FP32">
|
| 147 |
+
<dim>1024</dim>
|
| 148 |
+
<dim>3</dim>
|
| 149 |
+
<dim>2</dim>
|
| 150 |
+
<dim>16</dim>
|
| 151 |
+
<dim>16</dim>
|
| 152 |
+
</port>
|
| 153 |
+
</input>
|
| 154 |
+
<output>
|
| 155 |
+
<port id="2" precision="FP32">
|
| 156 |
+
<dim>-1</dim>
|
| 157 |
+
<dim>1024</dim>
|
| 158 |
+
<dim>1</dim>
|
| 159 |
+
<dim>1</dim>
|
| 160 |
+
<dim>1</dim>
|
| 161 |
+
</port>
|
| 162 |
+
</output>
|
| 163 |
+
</layer>
|
| 164 |
+
<layer id="9" name="__module.proj/aten::_convolution/Reshape" type="Const" version="opset1">
|
| 165 |
+
<data element_type="f32" shape="1, 1024, 1, 1, 1" offset="1574952" size="4096" />
|
| 166 |
+
<output>
|
| 167 |
+
<port id="0" precision="FP32">
|
| 168 |
+
<dim>1</dim>
|
| 169 |
+
<dim>1024</dim>
|
| 170 |
+
<dim>1</dim>
|
| 171 |
+
<dim>1</dim>
|
| 172 |
+
<dim>1</dim>
|
| 173 |
+
</port>
|
| 174 |
+
</output>
|
| 175 |
+
</layer>
|
| 176 |
+
<layer id="10" name="__module.proj/aten::_convolution/Add" type="Add" version="opset1">
|
| 177 |
+
<data auto_broadcast="numpy" />
|
| 178 |
+
<input>
|
| 179 |
+
<port id="0" precision="FP32">
|
| 180 |
+
<dim>-1</dim>
|
| 181 |
+
<dim>1024</dim>
|
| 182 |
+
<dim>1</dim>
|
| 183 |
+
<dim>1</dim>
|
| 184 |
+
<dim>1</dim>
|
| 185 |
+
</port>
|
| 186 |
+
<port id="1" precision="FP32">
|
| 187 |
+
<dim>1</dim>
|
| 188 |
+
<dim>1024</dim>
|
| 189 |
+
<dim>1</dim>
|
| 190 |
+
<dim>1</dim>
|
| 191 |
+
<dim>1</dim>
|
| 192 |
+
</port>
|
| 193 |
+
</input>
|
| 194 |
+
<output>
|
| 195 |
+
<port id="2" precision="FP32" names="33">
|
| 196 |
+
<dim>-1</dim>
|
| 197 |
+
<dim>1024</dim>
|
| 198 |
+
<dim>1</dim>
|
| 199 |
+
<dim>1</dim>
|
| 200 |
+
<dim>1</dim>
|
| 201 |
+
</port>
|
| 202 |
+
</output>
|
| 203 |
+
</layer>
|
| 204 |
+
<layer id="11" name="Constant_100991" type="Const" version="opset1">
|
| 205 |
+
<data element_type="i64" shape="2" offset="1579048" size="16" />
|
| 206 |
+
<output>
|
| 207 |
+
<port id="0" precision="I64" names="18">
|
| 208 |
+
<dim>2</dim>
|
| 209 |
+
</port>
|
| 210 |
+
</output>
|
| 211 |
+
</layer>
|
| 212 |
+
<layer id="12" name="aten::view/Reshape_1" type="Reshape" version="opset1">
|
| 213 |
+
<data special_zero="false" />
|
| 214 |
+
<input>
|
| 215 |
+
<port id="0" precision="FP32">
|
| 216 |
+
<dim>-1</dim>
|
| 217 |
+
<dim>1024</dim>
|
| 218 |
+
<dim>1</dim>
|
| 219 |
+
<dim>1</dim>
|
| 220 |
+
<dim>1</dim>
|
| 221 |
+
</port>
|
| 222 |
+
<port id="1" precision="I64">
|
| 223 |
+
<dim>2</dim>
|
| 224 |
+
</port>
|
| 225 |
+
</input>
|
| 226 |
+
<output>
|
| 227 |
+
<port id="2" precision="FP32" names="last_hidden_state">
|
| 228 |
+
<dim>-1</dim>
|
| 229 |
+
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|
| 230 |
+
</port>
|
| 231 |
+
</output>
|
| 232 |
+
</layer>
|
| 233 |
+
<layer id="13" name="Result_101018" type="Result" version="opset1" output_names="last_hidden_state">
|
| 234 |
+
<input>
|
| 235 |
+
<port id="0" precision="FP32">
|
| 236 |
+
<dim>-1</dim>
|
| 237 |
+
<dim>1024</dim>
|
| 238 |
+
</port>
|
| 239 |
+
</input>
|
| 240 |
+
</layer>
|
| 241 |
+
</layers>
|
| 242 |
+
<edges>
|
| 243 |
+
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|
| 244 |
+
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|
| 245 |
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|
| 246 |
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|
| 247 |
+
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|
| 248 |
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|
| 249 |
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|
| 250 |
+
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|
| 251 |
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<edge from-layer="8" from-port="2" to-layer="10" to-port="0" />
|
| 252 |
+
<edge from-layer="9" from-port="0" to-layer="10" to-port="1" />
|
| 253 |
+
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|
| 254 |
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<edge from-layer="11" from-port="0" to-layer="12" to-port="1" />
|
| 255 |
+
<edge from-layer="12" from-port="2" to-layer="13" to-port="0" />
|
| 256 |
+
</edges>
|
| 257 |
+
<rt_info>
|
| 258 |
+
<Runtime_version value="2025.3.0-19807-44526285f24-releases/2025/3" />
|
| 259 |
+
<conversion_parameters>
|
| 260 |
+
<framework value="pytorch" />
|
| 261 |
+
<is_python_object value="True" />
|
| 262 |
+
</conversion_parameters>
|
| 263 |
+
<nncf>
|
| 264 |
+
<friendly_names_were_updated value="True" />
|
| 265 |
+
<version value="2.18.0" />
|
| 266 |
+
<weight_compression>
|
| 267 |
+
<advanced_parameters value="{'statistics_path': None, 'lora_adapter_rank': 256, 'group_size_fallback_mode': 'ignore', 'min_adjusted_group_size': 16, 'awq_params': {'subset_size': 32, 'percent_to_apply': 0.002, 'alpha_min': 0.0, 'alpha_max': 1.0, 'steps': 100, 'prefer_data_aware_scaling': True}, 'scale_estimation_params': {'subset_size': 64, 'initial_steps': 5, 'scale_steps': 5, 'weight_penalty': -1.0}, 'gptq_params': {'damp_percent': 0.1, 'block_size': 128, 'subset_size': 128}, 'lora_correction_params': {'adapter_rank': 8, 'num_iterations': 3, 'apply_regularization': True, 'subset_size': 128, 'use_int8_adapters': True}, 'backend_params': {}, 'codebook': None}" />
|
| 268 |
+
<all_layers value="False" />
|
| 269 |
+
<awq value="False" />
|
| 270 |
+
<backup_mode value="int8_asym" />
|
| 271 |
+
<compression_format value="dequantize" />
|
| 272 |
+
<gptq value="False" />
|
| 273 |
+
<group_size value="-1" />
|
| 274 |
+
<ignored_scope value="[]" />
|
| 275 |
+
<lora_correction value="False" />
|
| 276 |
+
<mode value="int8_sym" />
|
| 277 |
+
<ratio value="1.0" />
|
| 278 |
+
<scale_estimation value="False" />
|
| 279 |
+
<sensitivity_metric value="weight_quantization_error" />
|
| 280 |
+
</weight_compression>
|
| 281 |
+
</nncf>
|
| 282 |
+
<optimum>
|
| 283 |
+
<nncf_version value="2.18.0" />
|
| 284 |
+
<optimum_intel_version value="1.26.0.dev0+741501e" />
|
| 285 |
+
<optimum_version value="1.27.0" />
|
| 286 |
+
<pytorch_version value="2.8.0+cpu" />
|
| 287 |
+
<transformers_version value="4.57.0.dev0" />
|
| 288 |
+
</optimum>
|
| 289 |
+
</rt_info>
|
| 290 |
+
</net>
|
openvino_vision_embeddings_pos_model.bin
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 3 |
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size 2363908
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openvino_vision_embeddings_pos_model.xml
ADDED
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@@ -0,0 +1,176 @@
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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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|
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|
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|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<net name="Model12" version="11">
|
| 3 |
+
<layers>
|
| 4 |
+
<layer id="0" name="input" type="Parameter" version="opset1">
|
| 5 |
+
<data shape="4,?" element_type="i64" />
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| 6 |
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| 7 |
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| 8 |
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|
| 9 |
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|
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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|
| 18 |
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|
| 19 |
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</port>
|
| 20 |
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</output>
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| 21 |
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</layer>
|
| 22 |
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<layer id="2" name="Convert_1406260" type="Convert" version="opset1">
|
| 23 |
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<data destination_type="f16" />
|
| 24 |
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<input>
|
| 25 |
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<port id="0" precision="I8">
|
| 26 |
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<dim>2304</dim>
|
| 27 |
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<dim>1024</dim>
|
| 28 |
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</port>
|
| 29 |
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</input>
|
| 30 |
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<output>
|
| 31 |
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<port id="1" precision="FP16">
|
| 32 |
+
<dim>2304</dim>
|
| 33 |
+
<dim>1024</dim>
|
| 34 |
+
</port>
|
| 35 |
+
</output>
|
| 36 |
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</layer>
|
| 37 |
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<layer id="3" name="self.weight/scale" type="Const" version="opset1">
|
| 38 |
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<data element_type="f16" shape="2304, 1" offset="2359296" size="4608" />
|
| 39 |
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<output>
|
| 40 |
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<port id="0" precision="FP16">
|
| 41 |
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<dim>2304</dim>
|
| 42 |
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<dim>1</dim>
|
| 43 |
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</port>
|
| 44 |
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</output>
|
| 45 |
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</layer>
|
| 46 |
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<layer id="4" name="self.weight/fq_weights_0" type="Multiply" version="opset1">
|
| 47 |
+
<data auto_broadcast="numpy" />
|
| 48 |
+
<input>
|
| 49 |
+
<port id="0" precision="FP16">
|
| 50 |
+
<dim>2304</dim>
|
| 51 |
+
<dim>1024</dim>
|
| 52 |
+
</port>
|
| 53 |
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<port id="1" precision="FP16">
|
| 54 |
+
<dim>2304</dim>
|
| 55 |
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<dim>1</dim>
|
| 56 |
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</port>
|
| 57 |
+
</input>
|
| 58 |
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<output>
|
| 59 |
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<port id="2" precision="FP16">
|
| 60 |
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<dim>2304</dim>
|
| 61 |
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<dim>1024</dim>
|
| 62 |
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</port>
|
| 63 |
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</output>
|
| 64 |
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</layer>
|
| 65 |
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<layer id="5" name="self.weight/fq_weights_0/convert" type="Convert" version="opset1">
|
| 66 |
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<data destination_type="f32" />
|
| 67 |
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<input>
|
| 68 |
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<port id="0" precision="FP16">
|
| 69 |
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<dim>2304</dim>
|
| 70 |
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<dim>1024</dim>
|
| 71 |
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</port>
|
| 72 |
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</input>
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| 73 |
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<output>
|
| 74 |
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<port id="1" precision="FP32">
|
| 75 |
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<dim>2304</dim>
|
| 76 |
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<dim>1024</dim>
|
| 77 |
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</port>
|
| 78 |
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</output>
|
| 79 |
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</layer>
|
| 80 |
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|
| 81 |
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<data destination_type="i32" />
|
| 82 |
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<input>
|
| 83 |
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<port id="0" precision="I64">
|
| 84 |
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<dim>4</dim>
|
| 85 |
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<dim>-1</dim>
|
| 86 |
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</port>
|
| 87 |
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</input>
|
| 88 |
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<output>
|
| 89 |
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<port id="1" precision="I32">
|
| 90 |
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<dim>4</dim>
|
| 91 |
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<dim>-1</dim>
|
| 92 |
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</port>
|
| 93 |
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</output>
|
| 94 |
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</layer>
|
| 95 |
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<layer id="7" name="aten::embedding/Constant" type="Const" version="opset1">
|
| 96 |
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|
| 97 |
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<output>
|
| 98 |
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<port id="0" precision="I32" />
|
| 99 |
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</output>
|
| 100 |
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</layer>
|
| 101 |
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<layer id="8" name="aten::embedding/Gather" type="Gather" version="opset8">
|
| 102 |
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<data batch_dims="0" />
|
| 103 |
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<input>
|
| 104 |
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<port id="0" precision="FP32">
|
| 105 |
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<dim>2304</dim>
|
| 106 |
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<dim>1024</dim>
|
| 107 |
+
</port>
|
| 108 |
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<port id="1" precision="I32">
|
| 109 |
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<dim>4</dim>
|
| 110 |
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<dim>-1</dim>
|
| 111 |
+
</port>
|
| 112 |
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<port id="2" precision="I32" />
|
| 113 |
+
</input>
|
| 114 |
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<output>
|
| 115 |
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<port id="3" precision="FP32" names="last_hidden_state">
|
| 116 |
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<dim>4</dim>
|
| 117 |
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<dim>-1</dim>
|
| 118 |
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<dim>1024</dim>
|
| 119 |
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</port>
|
| 120 |
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</output>
|
| 121 |
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</layer>
|
| 122 |
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<layer id="9" name="Result_167765" type="Result" version="opset1" output_names="last_hidden_state">
|
| 123 |
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<input>
|
| 124 |
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<port id="0" precision="FP32">
|
| 125 |
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<dim>4</dim>
|
| 126 |
+
<dim>-1</dim>
|
| 127 |
+
<dim>1024</dim>
|
| 128 |
+
</port>
|
| 129 |
+
</input>
|
| 130 |
+
</layer>
|
| 131 |
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</layers>
|
| 132 |
+
<edges>
|
| 133 |
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<edge from-layer="0" from-port="0" to-layer="6" to-port="0" />
|
| 134 |
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<edge from-layer="1" from-port="0" to-layer="2" to-port="0" />
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| 135 |
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<edge from-layer="2" from-port="1" to-layer="4" to-port="0" />
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| 136 |
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|
| 137 |
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<edge from-layer="4" from-port="2" to-layer="5" to-port="0" />
|
| 138 |
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<edge from-layer="5" from-port="1" to-layer="8" to-port="0" />
|
| 139 |
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<edge from-layer="6" from-port="1" to-layer="8" to-port="1" />
|
| 140 |
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<edge from-layer="7" from-port="0" to-layer="8" to-port="2" />
|
| 141 |
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<edge from-layer="8" from-port="3" to-layer="9" to-port="0" />
|
| 142 |
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</edges>
|
| 143 |
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<rt_info>
|
| 144 |
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<Runtime_version value="2025.3.0-19807-44526285f24-releases/2025/3" />
|
| 145 |
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<conversion_parameters>
|
| 146 |
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<framework value="pytorch" />
|
| 147 |
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<is_python_object value="True" />
|
| 148 |
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</conversion_parameters>
|
| 149 |
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<nncf>
|
| 150 |
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<friendly_names_were_updated value="True" />
|
| 151 |
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|
| 152 |
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<weight_compression>
|
| 153 |
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<advanced_parameters value="{'statistics_path': None, 'lora_adapter_rank': 256, 'group_size_fallback_mode': 'ignore', 'min_adjusted_group_size': 16, 'awq_params': {'subset_size': 32, 'percent_to_apply': 0.002, 'alpha_min': 0.0, 'alpha_max': 1.0, 'steps': 100, 'prefer_data_aware_scaling': True}, 'scale_estimation_params': {'subset_size': 64, 'initial_steps': 5, 'scale_steps': 5, 'weight_penalty': -1.0}, 'gptq_params': {'damp_percent': 0.1, 'block_size': 128, 'subset_size': 128}, 'lora_correction_params': {'adapter_rank': 8, 'num_iterations': 3, 'apply_regularization': True, 'subset_size': 128, 'use_int8_adapters': True}, 'backend_params': {}, 'codebook': None}" />
|
| 154 |
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<all_layers value="False" />
|
| 155 |
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|
| 156 |
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|
| 157 |
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|
| 158 |
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|
| 159 |
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<group_size value="-1" />
|
| 160 |
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|
| 161 |
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<lora_correction value="False" />
|
| 162 |
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<mode value="int8_sym" />
|
| 163 |
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|
| 164 |
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|
| 165 |
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<sensitivity_metric value="weight_quantization_error" />
|
| 166 |
+
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|
| 167 |
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|
| 168 |
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<optimum>
|
| 169 |
+
<nncf_version value="2.18.0" />
|
| 170 |
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|
| 171 |
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|
| 172 |
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<pytorch_version value="2.8.0+cpu" />
|
| 173 |
+
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|
| 174 |
+
</optimum>
|
| 175 |
+
</rt_info>
|
| 176 |
+
</net>
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"crop_size": null,
|
| 3 |
+
"data_format": "channels_first",
|
| 4 |
+
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|
| 5 |
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|
| 6 |
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|
| 7 |
+
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|
| 8 |
+
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|
| 9 |
+
"do_normalize": true,
|
| 10 |
+
"do_rescale": true,
|
| 11 |
+
"do_resize": true,
|
| 12 |
+
"image_mean": [
|
| 13 |
+
0.5,
|
| 14 |
+
0.5,
|
| 15 |
+
0.5
|
| 16 |
+
],
|
| 17 |
+
"image_processor_type": "Qwen2VLImageProcessorFast",
|
| 18 |
+
"image_std": [
|
| 19 |
+
0.5,
|
| 20 |
+
0.5,
|
| 21 |
+
0.5
|
| 22 |
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],
|
| 23 |
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|
| 24 |
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"max_pixels": null,
|
| 25 |
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"merge_size": 2,
|
| 26 |
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"min_pixels": null,
|
| 27 |
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"patch_size": 16,
|
| 28 |
+
"processor_class": "Qwen3VLProcessor",
|
| 29 |
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"resample": 3,
|
| 30 |
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"rescale_factor": 0.00392156862745098,
|
| 31 |
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"return_tensors": null,
|
| 32 |
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"size": {
|
| 33 |
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"longest_edge": 16777216,
|
| 34 |
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"shortest_edge": 65536
|
| 35 |
+
},
|
| 36 |
+
"temporal_patch_size": 2
|
| 37 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
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"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
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"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
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"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
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"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
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],
|
| 17 |
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"eos_token": {
|
| 18 |
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"content": "<|im_end|>",
|
| 19 |
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"lstrip": false,
|
| 20 |
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"normalized": false,
|
| 21 |
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"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
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},
|
| 24 |
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"pad_token": {
|
| 25 |
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"content": "<|endoftext|>",
|
| 26 |
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"lstrip": false,
|
| 27 |
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"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:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
|
| 3 |
+
size 11422654
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,240 @@
|
|
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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 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
},
|
| 181 |
+
"151665": {
|
| 182 |
+
"content": "<tool_response>",
|
| 183 |
+
"lstrip": false,
|
| 184 |
+
"normalized": false,
|
| 185 |
+
"rstrip": false,
|
| 186 |
+
"single_word": false,
|
| 187 |
+
"special": false
|
| 188 |
+
},
|
| 189 |
+
"151666": {
|
| 190 |
+
"content": "</tool_response>",
|
| 191 |
+
"lstrip": false,
|
| 192 |
+
"normalized": false,
|
| 193 |
+
"rstrip": false,
|
| 194 |
+
"single_word": false,
|
| 195 |
+
"special": false
|
| 196 |
+
},
|
| 197 |
+
"151667": {
|
| 198 |
+
"content": "<think>",
|
| 199 |
+
"lstrip": false,
|
| 200 |
+
"normalized": false,
|
| 201 |
+
"rstrip": false,
|
| 202 |
+
"single_word": false,
|
| 203 |
+
"special": false
|
| 204 |
+
},
|
| 205 |
+
"151668": {
|
| 206 |
+
"content": "</think>",
|
| 207 |
+
"lstrip": false,
|
| 208 |
+
"normalized": false,
|
| 209 |
+
"rstrip": false,
|
| 210 |
+
"single_word": false,
|
| 211 |
+
"special": false
|
| 212 |
+
}
|
| 213 |
+
},
|
| 214 |
+
"additional_special_tokens": [
|
| 215 |
+
"<|im_start|>",
|
| 216 |
+
"<|im_end|>",
|
| 217 |
+
"<|object_ref_start|>",
|
| 218 |
+
"<|object_ref_end|>",
|
| 219 |
+
"<|box_start|>",
|
| 220 |
+
"<|box_end|>",
|
| 221 |
+
"<|quad_start|>",
|
| 222 |
+
"<|quad_end|>",
|
| 223 |
+
"<|vision_start|>",
|
| 224 |
+
"<|vision_end|>",
|
| 225 |
+
"<|vision_pad|>",
|
| 226 |
+
"<|image_pad|>",
|
| 227 |
+
"<|video_pad|>"
|
| 228 |
+
],
|
| 229 |
+
"bos_token": null,
|
| 230 |
+
"clean_up_tokenization_spaces": false,
|
| 231 |
+
"eos_token": "<|im_end|>",
|
| 232 |
+
"errors": "replace",
|
| 233 |
+
"extra_special_tokens": {},
|
| 234 |
+
"model_max_length": 262144,
|
| 235 |
+
"pad_token": "<|endoftext|>",
|
| 236 |
+
"processor_class": "Qwen3VLProcessor",
|
| 237 |
+
"split_special_tokens": false,
|
| 238 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 239 |
+
"unk_token": null
|
| 240 |
+
}
|
video_preprocessor_config.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": true,
|
| 13 |
+
"fps": 2,
|
| 14 |
+
"image_mean": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"image_std": [
|
| 20 |
+
0.5,
|
| 21 |
+
0.5,
|
| 22 |
+
0.5
|
| 23 |
+
],
|
| 24 |
+
"input_data_format": null,
|
| 25 |
+
"max_frames": 768,
|
| 26 |
+
"merge_size": 2,
|
| 27 |
+
"min_frames": 4,
|
| 28 |
+
"num_frames": null,
|
| 29 |
+
"patch_size": 16,
|
| 30 |
+
"processor_class": "Qwen3VLProcessor",
|
| 31 |
+
"resample": 3,
|
| 32 |
+
"rescale_factor": 0.00392156862745098,
|
| 33 |
+
"return_metadata": false,
|
| 34 |
+
"size": {
|
| 35 |
+
"longest_edge": 25165824,
|
| 36 |
+
"shortest_edge": 4096
|
| 37 |
+
},
|
| 38 |
+
"size_divisor": null,
|
| 39 |
+
"temporal_patch_size": 2,
|
| 40 |
+
"video_metadata": null,
|
| 41 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 42 |
+
}
|
vocab.json
ADDED
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|
|