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lingbot-world-v2

Robbyant

Infinite Worlds with Versatile Interactions

Code
Unverified
Weights
Unverified
Checkpoint
Unverified
License
NOASSERTION

Decision summary

Best for

Model research and source verification

Main blocker

Training data requirements are not structured enough for reliable dataset matching.

Next check

Verify weight files, sizes, format, and loading instructions.

Evidence profile

A visual read of adoption evidence. Scores describe catalog evidence readiness, not task performance.

Published evaluation

1/6

dimensions scored

Unknown evidence remains visible and is never treated as a zero.

Access and governance75conf. 85
Artifact availabilityNot scoredconf. 15
Training and loading reproducibilityNot scoredconf. 15
Training data requirementsNot scoredconf. 15
Evaluation evidenceNot scoredconf. 10
Deployment readinessNot scoredconf. 10

Why these scores

The strongest decision reasons behind the evidence profile.

Top 3 adoption signals

Artifact availability

Unknown

Code and weights are not verified.

· confidence 15

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

Needs visual observations or other state streams before this model direction is actionable.

required

Language intent / task phase

Needs task intent, instructions, keysteps, or phase labels to connect behavior to goals.

required

Action / robot state

Descriptive model record

required

Future state / dynamics

Needs future-state supervision or rollout structure to validate predictive dynamics.

useful

Critical gaps

  • Observation / ego video: Needs visual observations or other state streams before this model direction is actionable.
  • Language intent / task phase: Needs task intent, instructions, keysteps, or phase labels to connect behavior to goals.

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 data signals

Feedback / correction / failure

Needs success, failure, correction, or recovery signals to turn evaluation into better data.

useful

Sim-real / embodiment metadata

Needs embodiment, calibration, or sim-real pairing metadata for transfer analysis.

useful

Additional decision dimensions

Access and governanceUseful

Access and license are declared by the source.

75 · c85
Training data requirementsUnknown

Training data requirements are not structured enough for reliable dataset matching.

· c15
Deployment readinessUnknown

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

· c10

Artifact facts

availability
metadata_verified
open
repository metadata
license
metadata_verified
NOASSERTION
repository metadata: license

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