boundless-large-model/boundless-world-model

Health v2 · maintenance only

Flags: no_releases young

Adoption not part of the score

1824 stars · 71 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Boundless-World-Model (BWM) is a physically consistent, action-conditioned video world model built on Wan2.2-TI2V-5B that acts as a low-cost, high-fidelity simulator for robotic manipulation. It includes inference code, model definitions, and weights for generating action-conditioned robot manipulation videos.

Use cases

• simulate robotic manipulation environments with a video world model
• generate action-conditioned robot manipulation videos
• build data engines for embodied AI training
• evaluate world models on the WorldArena leaderboard
• train robot learning policies with synthetic simulation data

When to choose

• you need a high-fidelity, low-cost alternative to physical robot simulators
• you are researching action-conditioned video prediction for embodied intelligence
• you want a proven open-source world model with competition-winning results

When to avoid

• you need training code, which is not yet released
• you lack GPU resources for large video model inference
• your use case is unrelated to robotics or embodied simulation

Facets

library · maturity active

machine-learning deep-learning simulation video-processing llm-inference artificial-intelligence robotics machine-learning simulation python world-model video-generation embodied-ai robot-manipulation action-conditioned simulator wan2.2 gpu linux

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markdown · JSON · MCP: product_card(name="boundless-large-model/boundless-world-model")