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Upload qwen3_vl_finetuned_base_classifier classifier

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.gitattributes CHANGED
@@ -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
README.md ADDED
@@ -0,0 +1,84 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ base_model: oscarqjh/Qwen3-VL-4B-Instruct-Flowers102-Open-QA
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+ tags:
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+ - vision
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+ - image-classification
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+ - flowers
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+ - multimodal
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+ - qwen3-vl
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+ - fine-tuned
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+ datasets:
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+ - flowers102
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+ language:
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+ - en
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+ pipeline_tag: image-classification
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+ ---
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+
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+ # Qwen3-VL Flowers102 Classifier
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+
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+ Qwen3-VL classifier trained on Flowers102 dataset using the fine-tuned oscarqjh/Qwen3-VL-4B-Instruct-Flowers102-Open-QA model. This model adds a classification head for 102 flower categories on top of an already fine-tuned base model.
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+
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+ This model is a fine-tuned version of [oscarqjh/Qwen3-VL-4B-Instruct-Flowers102-Open-QA](oscarqjh/Qwen3-VL-4B-Instruct-Flowers102-Open-QA) for flower classification on the Flowers102 dataset.
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+
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+ ## Model Description
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+
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+ This is a multimodal classifier that combines:
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+ - **Vision Encoder**: Qwen3-VL vision transformer
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+ - **Language Model**: Qwen3-VL language model
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+ - **Classification Head**: Custom linear layers for 102 flower classes
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+
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+ The model takes both image and text inputs (questions about flowers) and outputs classification predictions.
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+
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+
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+
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+
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+
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+ ## Usage
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+
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+ ```python
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+ from transformers import AutoProcessor
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+ from src.models.qwen_classifier import Qwen3VLClassifier
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+ import torch
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+ from PIL import Image
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+
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+ # Load model and processor
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+ model = Qwen3VLClassifier.from_pretrained("your-username/model-name")
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+ processor = AutoProcessor.from_pretrained("oscarqjh/Qwen3-VL-4B-Instruct-Flowers102-Open-QA")
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+
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+ # Prepare inputs
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+ image = Image.open("flower.jpg")
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+ text = "What type of flower is this?"
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+
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+ # Create chat format
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+ messages = [{
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+ 'role': 'user',
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+ 'content': [
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+ {'type': 'image', 'image': image},
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+ {'type': 'text', 'text': text}
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+ ]
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+ }]
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+
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+ # Process inputs
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+ text_input = processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=False)
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+ inputs = processor(text=[text_input], images=[image], return_tensors="pt", padding=True)
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+
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+ # Get predictions
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+ with torch.no_grad():
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+ outputs = model(**inputs)
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+ predicted_class = outputs.logits.argmax(dim=-1).item()
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+ confidence = torch.softmax(outputs.logits, dim=-1).max().item()
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+
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+ print(f"Predicted class: {predicted_class}, Confidence: {confidence:.4f}")
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+ ```
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+
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+ ## Dataset
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+
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+ The model was trained on the Flowers102 dataset, which contains 102 flower categories with:
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+ - 7,169 training images
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+ - 1,020 validation images
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+ - 6,149 test images
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+
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+ ## Citation
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+
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+ If you use this model, please cite the original Qwen3-VL paper and the Flowers102 dataset.
added_tokens.json ADDED
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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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+ {{- "\n" }}
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+ {%- else %}
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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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+ {%- 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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+ <|vision_start|><|image_pad|><|vision_end|>
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+ {%- set video_count.value = video_count.value + 1 %}
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+ {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
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+ <|vision_start|><|video_pad|><|vision_end|>
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+ {%- elif 'text' in content %}
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+ {{- content.text }}
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+ {%- elif message.role == "assistant" %}
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+ {%- set tool_call = tool_call.function %}
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+ {%- endif %}
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+ {{- '<tool_call>\n{"name": "' }}
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+ {{- tool_call.name }}
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+ {{- '", "arguments": ' }}
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+ {%- if tool_call.arguments is string %}
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+ {{- tool_call.arguments }}
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+ {%- else %}
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+ {{- tool_call.arguments | tojson }}
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+ {%- endif %}
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+ {{- '}\n</tool_call>' }}
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+ {%- endfor %}
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+ {{- '<|im_end|>\n' }}
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+ {%- elif message.role == "tool" %}
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+ {{- '<|im_start|>user' }}
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+ {%- for content in message.content %}
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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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+ <|vision_start|><|image_pad|><|vision_end|>
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+ {%- elif content.type == 'video' or 'video' in content %}
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+ {%- set video_count.value = video_count.value + 1 %}
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+ {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
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+ <|vision_start|><|video_pad|><|vision_end|>
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+ {%- elif 'text' in content %}
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+ {{- content.text }}
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+ {%- endif %}
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+ {{- '\n</tool_response>' }}
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+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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+ {{- '<|im_end|>\n' }}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- if add_generation_prompt %}
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+ {{- '<|im_start|>assistant\n' }}
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+ {%- endif %}
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+ {
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+ "architectures": [
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+ "Qwen3VLClassifier"
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+ "base_model_name_or_path": "oscarqjh/Qwen3-VL-4B-Instruct-Flowers102-Open-QA",
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+ "dropout_rate": 0.1,
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+ "dtype": "bfloat16",
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+ "freeze_base_model": true,
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+ "model_type": "qwen3_vl_classifier",
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+ "num_classes": 102,
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+ "transformers_version": "4.57.1"
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+ }
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