ThinkMorph-SSL-Instruct

About

ThinkMorph-SSL-Instruct reasons with interleaved text and images. On a visual question it thinks in text, generates intermediate images when they help (a zoomed-in crop, a depth map, a bird's-eye view, the view from another position), and then answers.

It is trained from BAGEL-7B-MoT in two stages:

Stage	Data	Model
1. Self-supervised pretext reasoning	Pretext-270K	ThinkMorph-SSL-Base
2. Instruction tuning	Instruct-180K	ThinkMorph-SSL-Instruct (this model)

Usage

The checkpoint has the same layout as BAGEL-7B-MoT and loads with the BAGEL code. Keep the VAE and tokenizer files shipped here. Prompt the model with the system prompt it was trained with:

Use <think>...</think> for intermediate reasoning or planning.

To generate an image, write <gen_image> followed by an image-size declaration:
  <gen_image>[Image size: (height, width)]
Generated images become part of your context and can inform subsequent reasoning. You may generate more than one image if needed.

If the task requires a final textual answer, wrap it in <answer>...</answer>.
If no textual answer is needed, the response may end after reasoning or image generation.

Example:
  <think>reasoning step</think>
  <gen_image>[Image size: (512, 512)]
  <think>observe and reason about the generated image</think>
  <answer>final answer</answer>