OpenBot
Platform
World ModelOpenReadiness 67/100Provisional

LingBot World v2 14B Causal Pretrain

robbyant

We present LingBot-World 2.0 (also known as LingBot-World-Infinity), an advanced iteration of LingBot-World featuring four distinct upgrades.

Source notes

We present LingBot-World 2.0 (also known as LingBot-World-Infinity), an advanced iteration of LingBot-World featuring four distinct upgrades. - Unbounded Interaction Horizon: Our model achieves an unbounded interaction horizon while maintaining consistent output quality, benefiting from a carefully crafted causal pretraining paradigm. - Rapid Response Time: Through distilling a real-time variant from the base model, our system guarantees rapid response time, sufficient to drive 720p video streams at 60 fps. - Highly Diverse Interactive Elements: Compared to the previous version, this update introduces highly diverse interactive elements, comprising a broader spectrum of actions (e.g., attacking, archery, spell-casting, and shooting) alongside a richer variety of text-driven events. - Agentic Harness: We pioneer the integration of an agentic harness within the domain of world modeling, wherein a pilot agent is tasked with planning and executing character behaviors, while a director agent is responsible for synthesizing novel environmental elements as the scene progresses.

Code
Unverified
Weights
Available
Checkpoint
Available
License
cc-by-nc-sa-4.0
WeightsModel index A–Z

Decision summary

Best for

world modeling

Main blocker

The declared license restricts commercial use.

Next check

Run a checkpoint loading smoke test before marking the model pipeline-tested.

Release history

Source-backed release timing for this canonical model record.

Important releases

  1. Checkpoint published

    Release timing is recorded from the official source creation date.

    Official source

Selection readiness

Evidence dimensions for deciding whether this model is ready to inspect, compare, or adopt. Scores describe catalog evidence, not task performance.

Published evaluation

How scores work

67/100

Provisional

3/6 dimensions scored · 43% confidence

Access and governance35conf. 85
Artifact availability90conf. 90
Training and loading reproducibilityNot scoredconf. 15
Training data requirements76conf. 45
Evaluation evidenceNot scoredconf. 10
Deployment readinessNot scoredconf. 10
Engineering checks (OBRS) behind this record
Engineering checksBronze

Needs Audit

4/12checks passed

OBRS metadata and reported test evidence. A breakdown behind Selection readiness, not a separate score or an independent OpenBot certification.

Standardization & Loaders15 / 25 pt
Physical & Action Quality12 / 25 pt
Semantic & Annotation15 / 20 pt
Real-World Validation0 / 15 pt
License & Compliance6 / 15 pt
Missing evidence and readiness gaps
  • A passing real-hardware test report is required.
  • A passing ingestion/pipeline test report is required.
  • A passing privacy and provenance review is required.

Why these scores

The strongest decision reasons behind Selection readiness.

Top 3 adoption signals

Artifact availability

Useful

Checkpoint files were verified in the official repository metadata.

90 · confidence 90

Training and loading reproducibility

Unknown

No verified loading configuration is available.

— · confidence 15

Evaluation evidence

Unknown

No structured evaluation evidence has been verified.

— · confidence 10

Data requirements

Declared loop-data needs, missing evidence, and the next checks that matter.

3 required categories

Observation / ego video

video · image-to-video

required

Language intent / task phase

language

required

Action / robot state

actions

required

Future state / dynamics

Descriptive model record

useful

Critical gaps

Core categories are represented. Interface alignment and data quality still require verification.

Linked datasets

Signal-level links only. Verify runtime interfaces before use.

Browse datasets

No related catalog datasets are linked to this model yet.

More evidenceShow

Additional decision dimensions

Access and governanceLimited

The declared license restricts commercial use.

35 · c85
Training data requirementsUseful

Required signal categories are structured; exact tensor and action interfaces still need verification.

76 · c45
Deployment readinessUnknown

Hardware, latency, dependencies, and checkpoint loading are not pipeline-tested.

— · c10

Artifact facts

availability
metadata_verified
open
repository metadata
license
metadata_verified
cc-by-nc-sa-4.0
repository metadata: license
repository.files
metadata_verified
.gitattributes · README.md · assets/teaser.png · model-00001-of-00008.safetensors · model-00002-of-00008.safetensors · model-00003-of-00008.safetensors · model-00004-of-00008.safetensors · model-00005-of-00008.safetensors · model-00006-of-00008.safetensors · model-00007-of-00008.safetensors · model-00008-of-00008.safetensors · model.safetensors.index.json
repository file tree
dataset.signals
official_claim
video · actions · language · image-to-video
README/card declaration
dataset.scale
metadata_verified
label: repository size · value: 74.18GB
repository blob sizes
model.weight_files
metadata_verified
model-00001-of-00008.safetensors · model-00002-of-00008.safetensors · model-00003-of-00008.safetensors · model-00004-of-00008.safetensors · model-00005-of-00008.safetensors · model-00006-of-00008.safetensors · model-00007-of-00008.safetensors · model-00008-of-00008.safetensors
repository file tree
model.checkpoint_files
metadata_verified
model-00001-of-00008.safetensors · model-00002-of-00008.safetensors · model-00003-of-00008.safetensors · model-00004-of-00008.safetensors · model-00005-of-00008.safetensors · model-00006-of-00008.safetensors · model-00007-of-00008.safetensors · model-00008-of-00008.safetensors
repository file tree