SmolVLA base policy checkpoint

LeRobot's SmolVLA learned vision-language-action base checkpoint, intended for task-specific fine-tuning. This reference describes provider-pinned safetensors weights; it does not supply a ready robot policy or execute inference.

lerobot-smolvla-base-policy-weights | Record version: source-7cd549ac2351fb069c0ddb3c34ad2d09cfc92b56a15dccdfc2e41467aaca01eb

Record JSON | Markdown | Pinned upstream source

Access

Inspect the exact pinned upstream artifact and setup instructions. This record has no Hub runtime adapter.

Inert file retrieval is unavailable for this reference (source_too_large): This single-file acquisition exceeds the fixed 8 MiB limit. Use the pinned upstream source and its acquisition instructions. The Hub CLI does not download this artifact. See source-file retrieval limits.

Hub preparation adapter: false. Follow the upstream setup and invocation contract.

Source and license

Repository: https://huggingface.co/lerobot/smolvla_base
Revision: sha256:7cd549ac2351fb069c0ddb3c34ad2d09cfc92b56a15dccdfc2e41467aaca01eb
Path: model.safetensors
Source SHA256: 7cd549ac2351fb069c0ddb3c34ad2d09cfc92b56a15dccdfc2e41467aaca01eb
Source bytes: 906712520
Original authors: lerobot
License: Apache-2.0
License scope: The pinned model repository card declares apache-2.0. No separate LICENSE file is present; config.license is null. This retains the model-card declaration without independently clearing tensor-payload rights. The external SmolVLM2 base, training/evaluation datasets, dependencies, hardware and task-specific derivatives require separate terms and provenance review.
License SHA256: not independently verified
Hub commit: bee2df6672c145beeff064d2a203cebdbd3c5bf3

Artifact

{
  "format": "safetensors",
  "kind": "policy"
}

Requirements

{
  "hardware": [],
  "notes": "Model-card declarations only; no Python/package/GPU-memory/OS combination was pinned or tested. Intended for fine-tuning on a user-selected dataset. Config expects six-state/six-action features, image inputs, preprocessing/postprocessing and separate normalization-state safetensors. Config/card reference unpinned HuggingFaceTB/SmolVLM2-500M-Video-Instruct; tokenizer/base weights and dataset terms remain separate. Card inference:false is provider metadata, not proof that inference is impossible. SO100 and lego-box tasks belong to an example using a user's fine-tuned checkpoint, not a compatibility claim for these base weights.",
  "packages": [
    "lerobot[smolvla]",
    "torch"
  ],
  "python": null,
  "system": [
    "Pinned config defaults to CUDA; model-card example selects CPU if CUDA is unavailable"
  ]
}

Invocation

{
  "entrypoint": "SmolVLAPolicy.from_pretrained(model_id) with model_id = 'lerobot/smolvla_base' (pinned card example; not executed)",
  "notes": "Use the upstream pinned model-card setup and compatible reviewed LeRobot code after independent authorization. The card's loading snippet names the moving model ID and does not pass a revision, so reproduce with an explicitly selected provider revision and all required config/processor files rather than assuming this example pins them. This 906712520-byte artifact exceeds the Hub single-file 8 MiB acquisition limit. Hugging Face resolve issues a signed CDN redirect; no redirect, tensor transfer, package install, model/dataset load, GPU/cloud operation or robot contact was performed. No Hub adapter or runtime success is claimed."
}

Explicit compatibility

[]

Missing environment fields remain unknown. Discovery labels do not establish robot compatibility.

Evidence

Level: contributor_reported; runtime verification: not_run.

Data-only intake structure checked. Source content, checksum, license and runtime claims require maintainer review; no submitted code was executed.

Source review and contributor reports do not establish task completion. Preserve upstream attribution and licenses.