vibecodemaster/white-lid-act
robotics model by vibecodemaster
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Model card & documentation
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Robot policy trained to move the white lid onto the black tray. This branch contains 20,000 optimizer steps. The default branch contains 20,000 steps; step count alone does not establish better robot performance. Operator trials showed approach behavior but unreliable gripper closure. No standardized physical success evaluation or success-rate denominator has been collected. These are experimental checkpoints. Each branch is a complete loadable checkpoint including model weights, pre/postprocessing configuration, and normalization statistics. Two RGB views, observation.images.camera0 and observation.images.camera1, each shaped 3 × 224 × 398 with pixels in [0, 1], and an eight-component observation.state. Joint order is motor1.pos through motor8.pos. The first seven joint positions use calibrated [-100, 100] units; the final gripper dimension uses calibrated [0, 100]. Actions are absolute follower goals in that same order and calibration, not deltas or radians. Action chunk: 100 steps. The task string is move the white lid onto the black tray. Use…
Read the full model card ↗ · Preview checked 2026-10-31T19:16:25.197Z
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Model overview
vibecodemaster/white-lid-act is a robotics model repository published by vibecodemaster 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
- 51,672,712
- Architecture
- Not reported
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2026-10-18T06:09:02.000Z
- Last modified
- 2026-10-18T06:09:54.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
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.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-18T06:43:02.030Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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