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Qwen3_world_model_test
burnboom/Qwen3_world_model_test
Qwen3_world_model_test is a image-to-text model from burnboom. Use it when you need a caption or text from an image. It is set up for transformers. The card lists the license as apache-2.0.
This is a Multimodal World Model architecture based on the Joint-Embedding Predictive Architecture (JEPA). It fuses the reasoning power of Qwen3-VL-4B-Thinking with the visual latent space of Stable Diffusion VAE.
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At a glance
- Task
- Image-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- multimodal_jepa_world
- Access
- Public
- Created
- Feb 25, 2026
- Updated
- Feb 25, 2026
- SHA
- 6f102783
Base models
Model card
From the Hugging Face model README
Qwen3-VL JEPA World Model
This is a Multimodal World Model architecture based on the Joint-Embedding Predictive Architecture (JEPA). It fuses the reasoning power of Qwen3-VL-4B-Thinking with the visual latent space of Stable Diffusion VAE.
🧠 Architecture
- Thinking Engine:
Qwen/Qwen3-VL-4B-Thinking - Visual Perception:
runwayml/stable-diffusion-v1-5(VAE) - World Modeling: Designed to predict the next latent state of a scene.
🛠 Status
This repository contains the structural fuse. The predictors are currently randomly initialized and require training on sequential image data to function as a world model.
- Task
- Image-to-Text
- Library
- transformers
- Type
- multimodal_jepa_world
- License
- apache-2.0
- Languages
- en
- Created
- Feb 25, 2026
- Updated
- Feb 25, 2026