ImKyungjin/pi0-maniskill-placesphere-stop-30pct-40ep-bc-fullft-20k-seed1000
robotics model by ImKyungjin
From the publisher
Model card & documentation
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π₀ (Pi0) π₀ is a Vision-Language-Action model for general robot control, from Physical Intelligence. The LeRobot implementation is adapted from their open source OpenPI repository. Model Overview π₀ represents a breakthrough in robotics as the first general-purpose robot foundation model developed by Physical Intelligence. Unlike traditional robots that are narrow specialists programmed for repetitive motions, π₀ is designed to be a generalist policy that can understand visual inputs, interpret natural language instructions, and control a variety of different robots across diverse tasks. For more details, see the Physical Intelligence π₀…
Read the full model card ↗ · Preview checked 2026-09-20T07:47:42.127Z
Inside the original model card — Document outline
- Model Card for pi0
- How to Get Started with the Model
- Train from scratch
- Evaluate the policy/run inference
- Model Details
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
ImKyungjin/pi0-maniskill-placesphere-stop-30pct-40ep-bc-fullft-20k-seed1000 is a robotics model repository published by ImKyungjin 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
- 3,501,372,176
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-20T06:29:27.000Z
- Last modified
- 2026-09-20T06:32:52.000Z
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 2026-09-20T06:35:52.874Z. 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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