Dataset card organized by task
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README.md
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## About
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ThinkMorph-SSL-Base is [BAGEL-7B-MoT](https://huggingface.co/ByteDance-Seed/BAGEL-7B-MoT) after self-supervised pretext
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reasoning on [Pretext-270K](https://huggingface.co/datasets/ThinkMorph/Pretext-270K).
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[ThinkMorph-SSL-Instruct](https://huggingface.co/ThinkMorph/ThinkMorph-SSL-Instruct).
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questions or answers; for visual question answering, use ThinkMorph-SSL-Instruct.
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## Usage
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The checkpoint has the same layout as BAGEL-7B-MoT and loads with the
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[BAGEL code](https://github.com/ByteDance-Seed/Bagel).
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```text
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Use <think>...</think> for intermediate reasoning or planning.
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To generate an image, write <gen_image> followed by an image-size declaration:
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<gen_image>[Image size: (height, width)]
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Generated images become part of your context and can inform subsequent reasoning. You may generate more than one image if needed.
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If the task requires a final textual answer, wrap it in <answer>...</answer>.
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If no textual answer is needed, the response may end after reasoning or image generation.
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Example:
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<think>reasoning step</think>
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<gen_image>[Image size: (512, 512)]
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<think>observe and reason about the generated image</think>
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<answer>final answer</answer>
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```
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## Citation
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## About
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ThinkMorph-SSL-Base is [BAGEL-7B-MoT](https://huggingface.co/ByteDance-Seed/BAGEL-7B-MoT) after self-supervised pretext
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reasoning on [Pretext-270K](https://huggingface.co/datasets/ThinkMorph/Pretext-270K). Given a corrupted image, it
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describes the image, generates the restored version, and describes the result. It was trained
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without questions and gives no answers.
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These are the EMA weights at step 5,500, the starting point of
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[ThinkMorph-SSL-Instruct](https://huggingface.co/ThinkMorph/ThinkMorph-SSL-Instruct).
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## Usage
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The checkpoint has the same layout as BAGEL-7B-MoT and loads with the
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[BAGEL code](https://github.com/ByteDance-Seed/Bagel). Its output is `<think>...</think>`, a
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generated image, then `<think>...</think>`. It was trained with the same system prompt as
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ThinkMorph-SSL-Instruct.
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## Citation
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