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README.md
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- vlm
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# **WR30a-Deep-7B-0711**
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> The **WR30a-Deep-7B-0711** model is a fine-tuned version of **Qwen2.5-VL-7B-Instruct**, optimized for **Image Captioning**, **Visual Analysis**, and **Image Reasoning**. Built on top of the Qwen2.5-VL architecture, this experimental model enhances visual comprehension capabilities with focused training on 1,500K image pairs for superior image understanding and reasoning tasks across all categories of images with variational dimensions.
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* Variable accuracy on highly specialized or domain-specific visual content.
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* Performance may vary with unusual image compositions or artistic styles.
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* Being in experimental stage, outputs should be validated for critical applications.
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* May require fine-tuning for specific niche use cases or domains.
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- vlm
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# **WR30a-Deep-7B-0711**
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> The **WR30a-Deep-7B-0711** model is a fine-tuned version of **Qwen2.5-VL-7B-Instruct**, optimized for **Image Captioning**, **Visual Analysis**, and **Image Reasoning**. Built on top of the Qwen2.5-VL architecture, this experimental model enhances visual comprehension capabilities with focused training on 1,500K image pairs for superior image understanding and reasoning tasks across all categories of images with variational dimensions.
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* Variable accuracy on highly specialized or domain-specific visual content.
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* Performance may vary with unusual image compositions or artistic styles.
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* Being in experimental stage, outputs should be validated for critical applications.
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* May require fine-tuning for specific niche use cases or domains.
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