OvisOCR2 MLX conversion (verified against transformers fp32)
Browse files- .gitattributes +1 -0
- LICENSE +202 -0
- README.md +59 -0
- chat_template.jinja +154 -0
- config.json +106 -0
- model.safetensors +3 -0
- model.safetensors.index.json +854 -0
- preprocessor_config.json +21 -0
- processor_config.json +50 -0
- tokenizer.json +3 -0
- tokenizer_config.json +33 -0
- video_preprocessor_config.json +21 -0
- vocab.json +0 -0
.gitattributes
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
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---
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license: apache-2.0
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language:
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- ja
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- en
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base_model: ATH-MaaS/OvisOCR2
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library_name: mlx
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pipeline_tag: image-text-to-text
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tags:
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- mlx
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- ocr
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- document-parsing
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- markdown
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- japanese
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- qwen3_5
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---
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# OvisOCR2 (MLX 4bit, verified)
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[OvisOCR2](https://huggingface.co/ATH-MaaS/OvisOCR2)（0.9Bのend-to-endドキュメントパースモデル。OmniDocBench v1.6首位）を公式bf16重みからMLX 4bit（group size 64、実効5.86bpw）に量子化したものです。日本語ビジネス文書での検証済みで公開しています。
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ページ画像を入力すると、読み順どおりのMarkdown（表はHTML、数式はLaTeX）を出力します。
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## 変換品質の検証（tokimoa）
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日本語ビジネス文書5種（議事録・請求書・契約条項・チェックシート・英日混在）で検証:
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| 27 |
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| 28 |
+
- transformers版（fp32・greedy）と3/5画像で出力完全一致。差分は2画像×各1文字で、**いずれも小書き文字の通常かな化**（セキ「ュ」リティ→セキ「ユ」リティ、テ「ィ」ング→テ「イ」ング）
|
| 29 |
+
- この劣化は決定論的（同一入力では毎回同じ箇所が同じように化ける）。日本語OCRで小書き文字の忠実度が重要な場合は [8bit版](https://huggingface.co/tokimoa/ovisocr2-mlx-8bit) を推奨
|
| 30 |
+
- 同一入力の反復で出力完全一致(決定論的)
|
| 31 |
+
- 実効速度: 5枚合計 約7.4秒（M4 Max、モデルロード込み）
|
| 32 |
+
|
| 33 |
+
## 使い方
|
| 34 |
+
|
| 35 |
+
```python
|
| 36 |
+
# pip install mlx-vlm
|
| 37 |
+
from mlx_vlm import load, generate
|
| 38 |
+
|
| 39 |
+
model, processor = load("tokimoa/ovisocr2-mlx-4bit")
|
| 40 |
+
prompt = "Extract all readable content from the image in natural human reading order and output the result as a single Markdown document. For charts or images, represent them using an HTML image tag: <img src=\"images/bbox_{left}_{top}_{right}_{bottom}.jpg\" />, where left, top, right, bottom are bounding box coordinates scaled to [0, 1000). Format formulas as LaTeX. Format tables as HTML: <table>...</table>. Transcribe all other text as standard Markdown. Preserve the original text without translation or paraphrasing."
|
| 41 |
+
messages = [{"role":"user","content":[{"type":"image"},{"type":"text","text":prompt}]}]
|
| 42 |
+
text = processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True, enable_thinking=False)
|
| 43 |
+
out = generate(model, processor, text, image=["page.png"], max_tokens=4096, temperature=0.0, verbose=False)
|
| 44 |
+
print(out.text)
|
| 45 |
+
```
|
| 46 |
+
|
| 47 |
+
## 変換情報
|
| 48 |
+
|
| 49 |
+
- 変換元: `ATH-MaaS/OvisOCR2`（bf16、Qwen3.5系 linear+full attentionハイブリッド）
|
| 50 |
+
- 変換: `mlx-vlm 0.6.7` `convert` `-q --q-bits 4`（実効5.86bpw、622MB）
|
| 51 |
+
- 変換者: [tokimoa](https://tokimoa.jp)
|
| 52 |
+
|
| 53 |
+
## 補足: transformersで元モデルを動かす場合の注意
|
| 54 |
+
|
| 55 |
+
元リポジトリには `generation_config.json` が同梱されておらず、`config.json` の `eos_token_id` は `<|endoftext|>` (248044) を指しています。実際のターン終端は `<|im_end|>` (248046) のため、**transformersの `generate()` にそのまま渡すと停止せず文書を繰り返し生成します**。`eos_token_id=248046` を明示してください（mlx-vlm・vLLMはtokenizer側のEOSを使うため影響なし）。
|
| 56 |
+
|
| 57 |
+
## ライセンス
|
| 58 |
+
|
| 59 |
+
Apache-2.0（元モデルに準拠）
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,154 @@
|
|
|
|
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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 |
+
{%- set image_count = namespace(value=0) %}
|
| 2 |
+
{%- set video_count = namespace(value=0) %}
|
| 3 |
+
{%- macro render_content(content, do_vision_count, is_system_content=false) %}
|
| 4 |
+
{%- if content is string %}
|
| 5 |
+
{{- content }}
|
| 6 |
+
{%- elif content is iterable and content is not mapping %}
|
| 7 |
+
{%- for item in content %}
|
| 8 |
+
{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
|
| 9 |
+
{%- if is_system_content %}
|
| 10 |
+
{{- raise_exception('System message cannot contain images.') }}
|
| 11 |
+
{%- endif %}
|
| 12 |
+
{%- if do_vision_count %}
|
| 13 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{%- if add_vision_id %}
|
| 16 |
+
{{- 'Picture ' ~ image_count.value ~ ': ' }}
|
| 17 |
+
{%- endif %}
|
| 18 |
+
{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
|
| 19 |
+
{%- elif 'video' in item or item.type == 'video' %}
|
| 20 |
+
{%- if is_system_content %}
|
| 21 |
+
{{- raise_exception('System message cannot contain videos.') }}
|
| 22 |
+
{%- endif %}
|
| 23 |
+
{%- if do_vision_count %}
|
| 24 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 25 |
+
{%- endif %}
|
| 26 |
+
{%- if add_vision_id %}
|
| 27 |
+
{{- 'Video ' ~ video_count.value ~ ': ' }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
|
| 30 |
+
{%- elif 'text' in item %}
|
| 31 |
+
{{- item.text }}
|
| 32 |
+
{%- else %}
|
| 33 |
+
{{- raise_exception('Unexpected item type in content.') }}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endfor %}
|
| 36 |
+
{%- elif content is none or content is undefined %}
|
| 37 |
+
{{- '' }}
|
| 38 |
+
{%- else %}
|
| 39 |
+
{{- raise_exception('Unexpected content type.') }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endmacro %}
|
| 42 |
+
{%- if not messages %}
|
| 43 |
+
{{- raise_exception('No messages provided.') }}
|
| 44 |
+
{%- endif %}
|
| 45 |
+
{%- if tools and tools is iterable and tools is not mapping %}
|
| 46 |
+
{{- '<|im_start|>system\n' }}
|
| 47 |
+
{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
|
| 48 |
+
{%- for tool in tools %}
|
| 49 |
+
{{- "\n" }}
|
| 50 |
+
{{- tool | tojson }}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{{- "\n</tools>" }}
|
| 53 |
+
{{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
|
| 54 |
+
{%- if messages[0].role == 'system' %}
|
| 55 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 56 |
+
{%- if content %}
|
| 57 |
+
{{- '\n\n' + content }}
|
| 58 |
+
{%- endif %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<|im_end|>\n' }}
|
| 61 |
+
{%- else %}
|
| 62 |
+
{%- if messages[0].role == 'system' %}
|
| 63 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 64 |
+
{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
|
| 65 |
+
{%- endif %}
|
| 66 |
+
{%- endif %}
|
| 67 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 68 |
+
{%- for message in messages[::-1] %}
|
| 69 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 70 |
+
{%- if ns.multi_step_tool and message.role == "user" %}
|
| 71 |
+
{%- set content = render_content(message.content, false)|trim %}
|
| 72 |
+
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 73 |
+
{%- set ns.multi_step_tool = false %}
|
| 74 |
+
{%- set ns.last_query_index = index %}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{%- endif %}
|
| 77 |
+
{%- endfor %}
|
| 78 |
+
{%- if ns.multi_step_tool %}
|
| 79 |
+
{{- raise_exception('No user query found in messages.') }}
|
| 80 |
+
{%- endif %}
|
| 81 |
+
{%- for message in messages %}
|
| 82 |
+
{%- set content = render_content(message.content, true)|trim %}
|
| 83 |
+
{%- if message.role == "system" %}
|
| 84 |
+
{%- if not loop.first %}
|
| 85 |
+
{{- raise_exception('System message must be at the beginning.') }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- elif message.role == "user" %}
|
| 88 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 89 |
+
{%- elif message.role == "assistant" %}
|
| 90 |
+
{%- set reasoning_content = '' %}
|
| 91 |
+
{%- if message.reasoning_content is string %}
|
| 92 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 93 |
+
{%- else %}
|
| 94 |
+
{%- if '</think>' in content %}
|
| 95 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 96 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 97 |
+
{%- endif %}
|
| 98 |
+
{%- endif %}
|
| 99 |
+
{%- set reasoning_content = reasoning_content|trim %}
|
| 100 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 101 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
|
| 102 |
+
{%- else %}
|
| 103 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 104 |
+
{%- endif %}
|
| 105 |
+
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
|
| 106 |
+
{%- for tool_call in message.tool_calls %}
|
| 107 |
+
{%- if tool_call.function is defined %}
|
| 108 |
+
{%- set tool_call = tool_call.function %}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{%- if loop.first %}
|
| 111 |
+
{%- if content|trim %}
|
| 112 |
+
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 113 |
+
{%- else %}
|
| 114 |
+
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 115 |
+
{%- endif %}
|
| 116 |
+
{%- else %}
|
| 117 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 118 |
+
{%- endif %}
|
| 119 |
+
{%- if tool_call.arguments is defined %}
|
| 120 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 121 |
+
{{- '<parameter=' + args_name + '>\n' }}
|
| 122 |
+
{%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
|
| 123 |
+
{{- args_value }}
|
| 124 |
+
{{- '\n</parameter>\n' }}
|
| 125 |
+
{%- endfor %}
|
| 126 |
+
{%- endif %}
|
| 127 |
+
{{- '</function>\n</tool_call>' }}
|
| 128 |
+
{%- endfor %}
|
| 129 |
+
{%- endif %}
|
| 130 |
+
{{- '<|im_end|>\n' }}
|
| 131 |
+
{%- elif message.role == "tool" %}
|
| 132 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 133 |
+
{{- '<|im_start|>user' }}
|
| 134 |
+
{%- endif %}
|
| 135 |
+
{{- '\n<tool_response>\n' }}
|
| 136 |
+
{{- content }}
|
| 137 |
+
{{- '\n</tool_response>' }}
|
| 138 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 139 |
+
{{- '<|im_end|>\n' }}
|
| 140 |
+
{%- elif loop.last %}
|
| 141 |
+
{{- '<|im_end|>\n' }}
|
| 142 |
+
{%- endif %}
|
| 143 |
+
{%- else %}
|
| 144 |
+
{{- raise_exception('Unexpected message role.') }}
|
| 145 |
+
{%- endif %}
|
| 146 |
+
{%- endfor %}
|
| 147 |
+
{%- if add_generation_prompt %}
|
| 148 |
+
{{- '<|im_start|>assistant\n' }}
|
| 149 |
+
{%- if enable_thinking is defined and enable_thinking is true %}
|
| 150 |
+
{{- '<think>\n' }}
|
| 151 |
+
{%- else %}
|
| 152 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 153 |
+
{%- endif %}
|
| 154 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,106 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"image_token_id": 248056,
|
| 6 |
+
"model_type": "qwen3_5",
|
| 7 |
+
"quantization": {
|
| 8 |
+
"group_size": 64,
|
| 9 |
+
"bits": 4,
|
| 10 |
+
"mode": "affine"
|
| 11 |
+
},
|
| 12 |
+
"quantization_config": {
|
| 13 |
+
"group_size": 64,
|
| 14 |
+
"bits": 4,
|
| 15 |
+
"mode": "affine"
|
| 16 |
+
},
|
| 17 |
+
"text_config": {
|
| 18 |
+
"attention_bias": false,
|
| 19 |
+
"attention_dropout": 0.0,
|
| 20 |
+
"attn_output_gate": true,
|
| 21 |
+
"dtype": "bfloat16",
|
| 22 |
+
"eos_token_id": 248044,
|
| 23 |
+
"full_attention_interval": 4,
|
| 24 |
+
"head_dim": 256,
|
| 25 |
+
"hidden_act": "silu",
|
| 26 |
+
"hidden_size": 1024,
|
| 27 |
+
"initializer_range": 0.02,
|
| 28 |
+
"intermediate_size": 3584,
|
| 29 |
+
"layer_types": [
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"linear_attention",
|
| 51 |
+
"linear_attention",
|
| 52 |
+
"linear_attention",
|
| 53 |
+
"full_attention"
|
| 54 |
+
],
|
| 55 |
+
"linear_conv_kernel_dim": 4,
|
| 56 |
+
"linear_key_head_dim": 128,
|
| 57 |
+
"linear_num_key_heads": 16,
|
| 58 |
+
"linear_num_value_heads": 16,
|
| 59 |
+
"linear_value_head_dim": 128,
|
| 60 |
+
"max_position_embeddings": 262144,
|
| 61 |
+
"mlp_only_layers": [],
|
| 62 |
+
"model_type": "qwen3_5_text",
|
| 63 |
+
"mtp_num_hidden_layers": 1,
|
| 64 |
+
"mtp_use_dedicated_embeddings": false,
|
| 65 |
+
"num_attention_heads": 8,
|
| 66 |
+
"num_hidden_layers": 24,
|
| 67 |
+
"num_key_value_heads": 2,
|
| 68 |
+
"rms_norm_eps": 1e-06,
|
| 69 |
+
"tie_word_embeddings": true,
|
| 70 |
+
"use_cache": true,
|
| 71 |
+
"vocab_size": 248320,
|
| 72 |
+
"mamba_ssm_dtype": "float32",
|
| 73 |
+
"rope_parameters": {
|
| 74 |
+
"mrope_interleaved": true,
|
| 75 |
+
"mrope_section": [
|
| 76 |
+
11,
|
| 77 |
+
11,
|
| 78 |
+
10
|
| 79 |
+
],
|
| 80 |
+
"rope_type": "default",
|
| 81 |
+
"rope_theta": 10000000,
|
| 82 |
+
"partial_rotary_factor": 0.25
|
| 83 |
+
}
|
| 84 |
+
},
|
| 85 |
+
"tie_word_embeddings": true,
|
| 86 |
+
"transformers_version": "4.57.0.dev0",
|
| 87 |
+
"video_token_id": 248057,
|
| 88 |
+
"vision_config": {
|
| 89 |
+
"deepstack_visual_indexes": [],
|
| 90 |
+
"depth": 12,
|
| 91 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 92 |
+
"hidden_size": 768,
|
| 93 |
+
"in_channels": 3,
|
| 94 |
+
"initializer_range": 0.02,
|
| 95 |
+
"intermediate_size": 3072,
|
| 96 |
+
"model_type": "qwen3_5",
|
| 97 |
+
"num_heads": 12,
|
| 98 |
+
"num_position_embeddings": 2304,
|
| 99 |
+
"out_hidden_size": 1024,
|
| 100 |
+
"patch_size": 16,
|
| 101 |
+
"spatial_merge_size": 2,
|
| 102 |
+
"temporal_patch_size": 2
|
| 103 |
+
},
|
| 104 |
+
"vision_end_token_id": 248054,
|
| 105 |
+
"vision_start_token_id": 248053
|
| 106 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f50f71fdd9628a1a33825039e734f036d9b5365dea2f7c46ab984dbae0c441a1
|
| 3 |
+
size 625228929
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,854 @@
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|
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|
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| 785 |
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|
| 786 |
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|
| 787 |
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|
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|
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|
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|
| 791 |
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|
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|
| 793 |
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|
| 794 |
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|
| 795 |
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|
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|
| 797 |
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|
| 798 |
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|
| 799 |
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|
| 800 |
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|
| 801 |
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|
| 802 |
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|
| 803 |
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|
| 804 |
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|
| 805 |
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|
| 806 |
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|
| 807 |
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|
| 808 |
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|
| 809 |
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|
| 810 |
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|
| 811 |
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|
| 812 |
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|
| 813 |
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|
| 814 |
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|
| 815 |
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|
| 816 |
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|
| 817 |
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|
| 818 |
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|
| 819 |
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|
| 820 |
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|
| 821 |
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|
| 822 |
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|
| 823 |
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|
| 824 |
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|
| 825 |
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|
| 826 |
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|
| 827 |
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|
| 828 |
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|
| 829 |
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|
| 830 |
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|
| 831 |
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"vision_tower.blocks.8.norm2.weight": "model.safetensors",
|
| 832 |
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|
| 833 |
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"vision_tower.blocks.9.attn.proj.weight": "model.safetensors",
|
| 834 |
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|
| 835 |
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|
| 836 |
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|
| 837 |
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|
| 838 |
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|
| 839 |
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|
| 840 |
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|
| 841 |
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|
| 842 |
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"vision_tower.blocks.9.norm2.bias": "model.safetensors",
|
| 843 |
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"vision_tower.blocks.9.norm2.weight": "model.safetensors",
|
| 844 |
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|
| 845 |
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|
| 846 |
+
"vision_tower.merger.linear_fc2.bias": "model.safetensors",
|
| 847 |
+
"vision_tower.merger.linear_fc2.weight": "model.safetensors",
|
| 848 |
+
"vision_tower.merger.norm.bias": "model.safetensors",
|
| 849 |
+
"vision_tower.merger.norm.weight": "model.safetensors",
|
| 850 |
+
"vision_tower.patch_embed.proj.bias": "model.safetensors",
|
| 851 |
+
"vision_tower.patch_embed.proj.weight": "model.safetensors",
|
| 852 |
+
"vision_tower.pos_embed.weight": "model.safetensors"
|
| 853 |
+
}
|
| 854 |
+
}
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
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|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"size": {
|
| 3 |
+
"longest_edge": 16777216,
|
| 4 |
+
"shortest_edge": 65536
|
| 5 |
+
},
|
| 6 |
+
"patch_size": 16,
|
| 7 |
+
"temporal_patch_size": 2,
|
| 8 |
+
"merge_size": 2,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.5,
|
| 11 |
+
0.5,
|
| 12 |
+
0.5
|
| 13 |
+
],
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"processor_class": "Qwen3VLProcessor",
|
| 20 |
+
"image_processor_type": "Qwen2VLImageProcessorFast"
|
| 21 |
+
}
|
processor_config.json
ADDED
|
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"do_convert_rgb": true,
|
| 4 |
+
"do_normalize": true,
|
| 5 |
+
"do_rescale": true,
|
| 6 |
+
"image_mean": [
|
| 7 |
+
0.5,
|
| 8 |
+
0.5,
|
| 9 |
+
0.5
|
| 10 |
+
],
|
| 11 |
+
"image_processor_type": "Qwen3VLImageProcessor",
|
| 12 |
+
"image_std": [
|
| 13 |
+
0.5,
|
| 14 |
+
0.5,
|
| 15 |
+
0.5
|
| 16 |
+
],
|
| 17 |
+
"max_pixels": 16777216,
|
| 18 |
+
"merge_size": 2,
|
| 19 |
+
"min_pixels": 65536,
|
| 20 |
+
"patch_size": 16,
|
| 21 |
+
"rescale_factor": 0.00392156862745098,
|
| 22 |
+
"temporal_patch_size": 2
|
| 23 |
+
},
|
| 24 |
+
"processor_class": "Qwen3VLProcessor",
|
| 25 |
+
"video_processor": {
|
| 26 |
+
"do_convert_rgb": true,
|
| 27 |
+
"do_normalize": true,
|
| 28 |
+
"do_rescale": true,
|
| 29 |
+
"fps": 2.0,
|
| 30 |
+
"image_mean": [
|
| 31 |
+
0.5,
|
| 32 |
+
0.5,
|
| 33 |
+
0.5
|
| 34 |
+
],
|
| 35 |
+
"image_std": [
|
| 36 |
+
0.5,
|
| 37 |
+
0.5,
|
| 38 |
+
0.5
|
| 39 |
+
],
|
| 40 |
+
"max_frames": 768,
|
| 41 |
+
"max_pixels": 25165824,
|
| 42 |
+
"merge_size": 2,
|
| 43 |
+
"min_frames": 4,
|
| 44 |
+
"min_pixels": 4096,
|
| 45 |
+
"patch_size": 16,
|
| 46 |
+
"rescale_factor": 0.00392156862745098,
|
| 47 |
+
"temporal_patch_size": 2,
|
| 48 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 49 |
+
}
|
| 50 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
|
| 3 |
+
size 19989325
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"audio_bos_token": "<|audio_start|>",
|
| 4 |
+
"audio_eos_token": "<|audio_end|>",
|
| 5 |
+
"audio_token": "<|audio_pad|>",
|
| 6 |
+
"backend": "tokenizers",
|
| 7 |
+
"bos_token": null,
|
| 8 |
+
"clean_up_tokenization_spaces": false,
|
| 9 |
+
"eos_token": "<|im_end|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"image_token": "<|image_pad|>",
|
| 12 |
+
"is_local": true,
|
| 13 |
+
"local_files_only": false,
|
| 14 |
+
"model_max_length": 262144,
|
| 15 |
+
"model_specific_special_tokens": {
|
| 16 |
+
"audio_bos_token": "<|audio_start|>",
|
| 17 |
+
"audio_eos_token": "<|audio_end|>",
|
| 18 |
+
"audio_token": "<|audio_pad|>",
|
| 19 |
+
"image_token": "<|image_pad|>",
|
| 20 |
+
"video_token": "<|video_pad|>",
|
| 21 |
+
"vision_bos_token": "<|vision_start|>",
|
| 22 |
+
"vision_eos_token": "<|vision_end|>"
|
| 23 |
+
},
|
| 24 |
+
"pad_token": "<|endoftext|>",
|
| 25 |
+
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
| 26 |
+
"processor_class": "Qwen3VLProcessor",
|
| 27 |
+
"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 29 |
+
"unk_token": null,
|
| 30 |
+
"video_token": "<|video_pad|>",
|
| 31 |
+
"vision_bos_token": "<|vision_start|>",
|
| 32 |
+
"vision_eos_token": "<|vision_end|>"
|
| 33 |
+
}
|
video_preprocessor_config.json
ADDED
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| 1 |
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{
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"size": {
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"longest_edge": 25165824,
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"shortest_edge": 4096
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},
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"patch_size": 16,
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"temporal_patch_size": 2,
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"merge_size": 2,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"processor_class": "Qwen3VLProcessor",
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"video_processor_type": "Qwen3VLVideoProcessor"
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}
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vocab.json
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The diff for this file is too large to render.
See raw diff
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