leoliu49/smolvla-pick-static-notactile-n10-s1

robotics model by leoliu49

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SmolVLA is a compact, efficient vision-language-action model that achieves competitive performance at reduced computational costs and can be deployed on consumer-grade hardware. This policy has been trained and pushed to the Hub using LeRobot. See the full documentation at LeRobot Docs. For a complete walkthrough, see the training…

leoliu49/smolvla-pick-static-notactile-n10-s1 on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-09-25T08:08:39.615Z

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Model overview

leoliu49/smolvla-pick-static-notactile-n10-s1 is a robotics model repository published by leoliu49 on Hugging Face. The source reports the lerobot library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task: robotics
Library: lerobot
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: 450,046,176
Architecture: Not reported
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2026-09-25T06:08:39.000Z
Last modified: 2026-09-25T06:08:50.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: lerobot/smolvla_base

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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