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repo_id
string
organization
string
model_name
string
world_model_type
string
architecture_family
string
modalities
list
domain
list
action_conditioned
bool
interactive
bool
prediction_target
list
planning_support
bool
control_support
bool
robotics
bool
physical_ai
bool
spatial_reasoning
bool
simulation
bool
synthetic_data
bool
parameter_count_b
float64
weights_available
bool
access_status
string
license
string
commercial_use
string
base_model
string
paper_id
string
verification_status
string
last_verified
timestamp[s]
source_urls
list
notes
string
nvidia/Cosmos-Predict2-2B-Video2World
nvidia
Cosmos-Predict2-2B-Video2World
world foundation model
latent video diffusion transformer
[ "text", "image", "video" ]
[ "physical-ai", "world-generation" ]
false
false
[ "future video frames", "world states" ]
false
false
true
true
true
true
true
2
true
gated
nvidia-open-model-license
permitted_by_license
null
null
verified
2026-09-24T00:00:00
[ "https://huggingface.co/nvidia/Cosmos-Predict2-2B-Video2World" ]
NVIDIA describes Cosmos-Predict2 as a world foundation model family for physics-aware world generation and Physical AI.
nvidia/Cosmos-Predict2-14B-Video2World
nvidia
Cosmos-Predict2-14B-Video2World
world foundation model
latent video diffusion transformer
[ "text", "image", "video" ]
[ "physical-ai", "world-generation" ]
false
false
[ "future video frames", "world states" ]
false
false
true
true
true
true
true
14
true
gated
nvidia-open-model-license
permitted_by_license
null
null
verified
2026-09-24T00:00:00
[ "https://huggingface.co/nvidia/Cosmos-Predict2-14B-Video2World" ]
Larger Cosmos Predict-2 Video2World checkpoint for higher-fidelity world generation.
nvidia/Cosmos-Policy-LIBERO-Predict2-2B
nvidia
Cosmos-Policy-LIBERO-Predict2-2B
world action model / visuomotor policy
latent video diffusion transformer
[ "text", "multi-view image", "proprioception", "action" ]
[ "robotics", "manipulation", "simulation" ]
true
true
[ "actions", "future images", "future proprioception", "value" ]
true
true
true
true
true
true
false
2
true
public
nvidia-one-way-noncommercial-license-nsclv1
not_permitted_without_custom_license
nvidia/Cosmos-Predict2-2B-Video2World
2601.16163
verified
2026-09-24T00:00:00
[ "https://huggingface.co/nvidia/Cosmos-Policy-LIBERO-Predict2-2B" ]
Jointly predicts actions, future states and values for LIBERO robot manipulation tasks.
nvidia/Cosmos-Policy-RoboCasa-Predict2-2B
nvidia
Cosmos-Policy-RoboCasa-Predict2-2B
world action model / visuomotor policy
latent video diffusion transformer
[ "text", "multi-view image", "proprioception", "action" ]
[ "robotics", "kitchen-manipulation", "simulation" ]
true
true
[ "actions", "future images", "future proprioception", "value" ]
true
true
true
true
true
true
false
2
true
public
nvidia-one-way-noncommercial-license-nsclv1
not_permitted_without_custom_license
nvidia/Cosmos-Predict2-2B-Video2World
2601.16163
verified
2026-09-24T00:00:00
[ "https://huggingface.co/nvidia/Cosmos-Policy-RoboCasa-Predict2-2B" ]
Cosmos Policy checkpoint for RoboCasa kitchen manipulation, predicting actions, future state and value.
nvidia/Cosmos-Policy-ALOHA-Planning-Model-Predict2-2B
nvidia
Cosmos-Policy-ALOHA-Planning-Model-Predict2-2B
planning world model
latent video diffusion transformer
[ "text", "multi-view image", "proprioception", "action" ]
[ "robotics", "bimanual-manipulation", "real-world" ]
true
true
[ "future images", "future proprioception", "value" ]
true
true
true
true
true
true
false
2
true
public
nvidia-one-way-noncommercial-license-nsclv1
not_permitted_without_custom_license
nvidia/Cosmos-Policy-ALOHA-Predict2-2B
2601.16163
verified
2026-09-24T00:00:00
[ "https://huggingface.co/nvidia/Cosmos-Policy-ALOHA-Planning-Model-Predict2-2B" ]
Refined world-model and value checkpoint for best-of-N model-based planning on real ALOHA manipulation tasks.
nvidia/Cosmos-H-Dreams
nvidia
Cosmos-H-Dreams
interactive world model
causal latent video diffusion transformer
[ "image", "robot kinematics", "video" ]
[ "surgical-robotics", "interactive-simulation", "healthcare" ]
true
true
[ "future video frames" ]
true
true
true
true
true
true
true
2
true
public
nvidia-open-model-license
permitted_by_license
nvidia/Cosmos-Predict2.5-2B-Video2World
2511.00062
verified
2026-09-24T00:00:00
[ "https://huggingface.co/nvidia/Cosmos-H-Dreams" ]
Real-time action-conditioned surgical world model for interactive simulation and policy evaluation.
sii-research/tau-0-wm
sii-research
tau-0-wm
unified video-action world model
video diffusion backbone
[ "multi-view video", "language", "robot state", "action" ]
[ "robotics", "manipulation", "real-world" ]
true
true
[ "future visual latents", "continuous actions", "task-progress value" ]
true
true
true
true
true
true
false
null
true
public
apache-2.0
permitted_by_license
Wan-2.2 video diffusion backbone
2606.01027
verified
2026-09-24T00:00:00
[ "https://huggingface.co/sii-research/tau-0-wm", "https://huggingface.co/papers/2606.01027" ]
Unified Video Action Model plus action-conditioned simulator for robotic manipulation.
Fleurrr/A2World-World-Model
Fleurrr
A2World-World-Model
action-conditioned video world model
multi-view diffusion world model
[ "multi-view image", "robot action", "video" ]
[ "robotics", "manipulation", "simulation" ]
true
false
[ "future robot observations", "video rollout" ]
true
false
true
true
true
true
false
2
true
public
nvidia-open-model-license
subject_to_nvidia_open_model_license
nvidia/Cosmos-Predict2-2B-Video2World
2606.29501
verified
2026-09-24T00:00:00
[ "https://huggingface.co/Fleurrr/A2World-World-Model", "https://huggingface.co/papers/2606.29501" ]
Predicts future robot observations from initial camera observations and a 20-step action chunk; supports autoregressive rollout.
BLM-Lab/Boundless-World-Model
BLM-Lab
Boundless-World-Model
action-conditioned video world model
DiT + action encoder
[ "video", "robot action" ]
[ "robotics", "manipulation" ]
true
false
[ "future video frames" ]
false
false
true
true
true
true
false
5
true
public
not_documented_on_hf_model_card
unknown
Wan-AI/Wan2.2-TI2V-5B
null
verified_with_license_gap
2026-09-24T00:00:00
[ "https://huggingface.co/BLM-Lab/Boundless-World-Model" ]
Physically consistent action-conditioned video world model; license was not displayed on the Hugging Face model card at verification time.
facebook/vjepa2-vitg-fpc64-384
facebook
V-JEPA 2 ViT-g 384
predictive representation / world-model backbone
joint-embedding predictive architecture
[ "video", "image" ]
[ "video-understanding", "physical-world-representation" ]
false
false
[ "latent video representations" ]
false
false
true
true
true
false
false
1
true
public
apache-2.0
permitted_by_license
null
2506.09985
verified
2026-09-24T00:00:00
[ "https://huggingface.co/facebook/vjepa2-vitg-fpc64-384", "https://huggingface.co/papers/2506.09985" ]
Base V-JEPA 2 checkpoint is action-free; the associated work post-trains V-JEPA 2-AC as an action-conditioned world model for robotic planning.

World Model Registry

World Model Registry is a curated, source-linked dataset for mapping the world-model ecosystem across Physical AI, robotics, learned simulation, planning and predictive representations.

Version: 0.1.0
Last verified: 2026-09-24
Initial records: 10

Why this registry exists

The label world model now covers several technical patterns:

World Foundation Model
World Action Model
Interactive World Model
Planning World Model
Action-Conditioned Video World Model
Predictive Representation / World-Model Backbone

The registry makes those differences explicit instead of placing every model in one undifferentiated list.

Core fields

  • repo_id
  • organization
  • model_name
  • world_model_type
  • architecture_family
  • modalities
  • domain
  • action_conditioned
  • interactive
  • prediction_target
  • planning_support
  • control_support
  • robotics
  • physical_ai
  • spatial_reasoning
  • simulation
  • synthetic_data
  • parameter_count_b
  • weights_available
  • access_status
  • license
  • commercial_use
  • base_model
  • paper_id
  • verification_status
  • last_verified
  • source_urls
  • notes

Classification principles

USE THE MODEL CARD
LINK THE SOURCE
SEPARATE DOCUMENTED FACTS FROM INTERPRETATION
MARK GAPS INSTEAD OF GUESSING

A model is only marked action-conditioned, interactive, planning-capable or control-capable when its documentation supports that property.

Initial scope

The first release includes examples of:

  • NVIDIA Cosmos Predict-2 world foundation models
  • Cosmos Policy world-action / planning models
  • Cosmos-H-Dreams interactive simulation
  • τ₀-WM unified video-action world modeling
  • A2World action-conditioned robotics simulation
  • Boundless World Model
  • V-JEPA 2 as a predictive representation / world-model backbone

Important taxonomy note

Not every predictive video model is a full world model.

The registry therefore distinguishes between:

  • full action-conditioned world models
  • world foundation models
  • interactive simulators
  • planning models
  • predictive representation backbones

This is particularly important for V-JEPA 2: the base checkpoint is action-free, while the associated research post-trains V-JEPA 2-AC as an action-conditioned world model for robotic planning.

Intended uses

This dataset can support:

  • model discovery
  • world-model landscape mapping
  • registry interfaces
  • comparison tools
  • robotics research
  • Physical AI research
  • planning research
  • simulation research
  • taxonomy analysis

Limitations

This is an intentionally small first release.

It is not:

  • a complete list of all world models
  • a benchmark
  • a model-quality ranking
  • a legal opinion
  • a safety certification

Data architecture

WORLD MODELS ORGANIZATION
        ↓
WORLD MODEL REGISTRY DATASET
        ↓
STRUCTURED TAXONOMY + VERIFIED METADATA
        ↓
WORLD MODEL REGISTRY SPACE
        ↓
SEARCH · FILTER · DETAILS · COMPARE

Collaboration & Partnerships

The World Models organization is open to collaboration with world-model research teams, robotics companies, Physical AI companies, simulation platforms, research labs, universities and infrastructure providers.

Relevant collaboration areas include:

  • verified registry contributions
  • taxonomy
  • world-action models
  • interactive world models
  • Physical AI
  • robotics
  • planning
  • control
  • simulation
  • benchmarks
  • dataset integration

Collaboration: agenten@magenta.de

Independence

World Models is an independent Hugging Face community organization.

This registry is not an official registry of Hugging Face, NVIDIA, Meta, SII, BLM Lab or any other model developer listed here.

License

The original registry structure, curation and documentation are released under Apache-2.0.

This does not relicense any listed model. Each model remains subject to its own license and terms.

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