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Qwen3 World Model Test

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.

KindOtherBase modelQwen/Qwen3-VL-4B-ThinkingVersionRevision 6f10278

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Kind
Other
File size
263 MB
Base model
Qwen/Qwen3-VL-4B-Thinking
Version
vRevision 6f10278
Updated
Sep 26, 2026
Downloads
3
Tasks
Captioning
Source
Hugging Face

Source description

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.

Sources

1 source
Hugging FacePrimaryVersion 6f102783f9fe1016bd390b528010eceb50061f87
huggingface.co/burnboom/Qwen3_world_model_test/tree/6f102783f9fe1016bd390b528010eceb50061f87

Verified Sep 10

Model artifacts

1 artifact

pytorch_model.bin

bin · 263 MB · SHA-256 b07ddc19ed4c…05e2 · Hugging Face

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Source excerpts

2 excerpts

--- language: en license: apache-2.0 library_name: transformers tags: - multimodal - jepa - world-model - qwen3 - vision base_model: Qwen/Qwen3-VL-4B-Thinking pipeline_tag: image-to-text --- # 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.

Source context: 3 downloads · 1 likes · Pipeline image-to-text · Library transformers · Repo burnboom/Qwen3_world_model_test