SmolVLA base — external metadata assessment

Evidence boundary

The validator inspected the listed metadata files only. It did not download weights, import policy code, run inference, control hardware, execute simulation or verify model-card results.

{
  "method": "metadata_only",
  "assessor": "Known Robot",
  "validator_version": "1.3.0",
  "assessed_at": "2026-09-24T15:40:00.000Z",
  "executed_policy_code": false,
  "evaluated_policy": false,
  "established_compatibility": false,
  "status": "incomplete"
}

Generated portable manifest

This is the validator output, including nulls. The separately pinned Hub revision above establishes this assessment snapshot; it is not rewritten into the raw manifest as if the validator discovered it.

{
  "schema_version": "1.0",
  "skill": {
    "name": "Lerobot Smolvla Base",
    "version": null,
    "source": {
      "type": "local",
      "repository": null,
      "revision": null
    }
  },
  "policy": {
    "framework": "lerobot",
    "framework_version": null,
    "architecture": "smolvla"
  },
  "hardware": {
    "robot_family": null,
    "gripper": null,
    "sensors": []
  },
  "runtime": {
    "control_frequency_hz": null,
    "observation_shape": {
      "observation.state": {
        "type": "STATE",
        "shape": [
          6
        ]
      },
      "observation.images.camera1": {
        "type": "VISUAL",
        "shape": [
          3,
          256,
          256
        ]
      },
      "observation.images.camera2": {
        "type": "VISUAL",
        "shape": [
          3,
          256,
          256
        ]
      },
      "observation.images.camera3": {
        "type": "VISUAL",
        "shape": [
          3,
          256,
          256
        ]
      }
    },
    "action_shape": {
      "action": {
        "type": "ACTION",
        "shape": [
          6
        ]
      }
    },
    "dependencies": []
  },
  "dataset": {
    "repository": null,
    "revision": null,
    "schema": null
  },
  "compatibility": [],
  "evaluations": []
}

Missing-information report

Missing declarations remain visible. Model-card prose does not silently satisfy portable metadata fields.

• skill.version — Artifact version is missing.
• skill.source.repository — Source repository is missing from inspected metadata.
• skill.source.revision — Immutable source revision is missing from inspected metadata.
• policy.framework_version — Framework version is not pinned.
• hardware.robot_family — Robot family is not declared.
• hardware.gripper — Gripper is not declared.
• hardware.sensors — Sensors are not declared.
• runtime.control_frequency_hz — Control frequency is not declared.
• runtime.dependencies — Runtime dependencies are not declared.
• dataset.repository — No task dataset is pinned for this base checkpoint.
• dataset.revision — Dataset revision is not pinned.
• dataset.schema — Dataset schema is not declared.
• dependency.unresolved — Resolved dependency evidence is missing.

Cautions

• evaluations — No measured evaluation was found.
• compatibility — No compatibility evidence was found.

Upstream model-card claims

These are attributed summaries, not Known Robot measurements or endorsements.

• The model card describes SmolVLA as a base model intended to be fine-tuned for a specific use case. Inspect the pinned model card ↗

Inspected file inventory

Hashes make the metadata snapshot auditable without republishing upstream checkpoint weights.

[
  {
    "path": "README.md",
    "sha256": "a484071b8d7d0591452f795813fb54af9199fc1c48ef1ee995358d5ba07ee070",
    "bytes": 4625
  },
  {
    "path": "config.json",
    "sha256": "650584b56c104720f7a3c91d1ec6bec9e8de8ac11e60c92ba2fa82d93eda147d",
    "bytes": 2299
  },
  {
    "path": "policy_preprocessor.json",
    "sha256": "7683d648280a72f0d51e869fb8dd1596beed90b7f84849330cf1bc26634a4bd6",
    "bytes": 1872
  },
  {
    "path": "policy_postprocessor.json",
    "sha256": "2b78bb742065288df2ec63b0ee35f97a1f6950171cf2272f7e34b1fe3873b17b",
    "bytes": 660
  }
]

Limitations and next evidence

• Only repository metadata was inspected; weights were not downloaded and policy code was not executed.
• A base checkpoint is not a task-specific deployed policy and no target robot, task dataset or protocol is established here.
• The detected feature shapes do not establish semantic compatibility, safe control or task performance.

A future measured evaluation must be published as a separate evaluation record with an execution protocol, trials, outcomes and evidence. It will not overwrite or retroactively strengthen this assessment.