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libero_recap_final-test
sancov/libero_recap_final-test
libero_recap_final-test is a robotics model from sancov. Use it for the robotics task on the model card, and read the license before you ship it in a product. It is set up for lerobot. The card lists the license as apache-2.0.
Reference checkpoint for TensorRT conversion accuracy benchmarking in ros-fhnw-autonomy (docker/benchmark/). It is published so the on-device benchmark job can load real trained weights: half precision saturates on th…
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At a glance
- Task
- Robotics
- Library
- lerobot
- License
- apache-2.0
- Access
- Public
- Created
- Aug 17, 2026
- Updated
- Aug 17, 2026
- SHA
- 5f1433c0
Datasets
Model card
From the Hugging Face model README
sancov/libero_recap_final-test — SmolVLA+RECAP on LIBERO (10-step denoising, CFG weight 1.0)
Reference checkpoint for TensorRT conversion accuracy benchmarking in
ros-fhnw-autonomy
(docker/benchmark/). It is published so the on-device benchmark job can load
real trained weights: half precision saturates on the outlier activation
channels that only appear in trained weights, so an FP16 engine checked against
a randomly initialised policy passes a check it would fail in deployment.
- Policy:
smolvla_recap(10-step denoising, CFG weight 1.0) - Dataset:
HuggingFaceVLA/libero - Inputs:
observation.images.image,observation.images.image2(3x256x256),observation.state(8) - Output:
action(7), chunk size 20
Used as the eager reference in the eager-vs-TensorRT comparison; not intended as a general-purpose LIBERO policy release.
- Task
- Robotics
- Library
- lerobot
- License
- apache-2.0
- Created
- Aug 17, 2026
- Updated
- Aug 17, 2026