godnpeter / scratch_libero_singlegpu_refactor_fixloss_imageaug_code_original_0919

huggingface.co
Total runs: 13
24-hour runs: 0
7-day runs: 5
30-day runs: 7
Model's Last Updated: September 20 2025
robotics

Introduction of scratch_libero_singlegpu_refactor_fixloss_imageaug_code_original_0919

Model Details of scratch_libero_singlegpu_refactor_fixloss_imageaug_code_original_0919

Model Card for smolvla

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 .


How to Get Started with the Model

For a complete walkthrough, see the training guide . Below is the short version on how to train and run inference/eval:

Train from scratch
lerobot-train \
  --dataset.repo_id=${HF_USER}/<dataset> \
  --policy.type=act \
  --output_dir=outputs/train/<desired_policy_repo_id> \
  --job_name=lerobot_training \
  --policy.device=cuda \
  --policy.repo_id=${HF_USER}/<desired_policy_repo_id>
  --wandb.enable=true

Writes checkpoints to outputs/train/<desired_policy_repo_id>/checkpoints/ .

Evaluate the policy/run inference
lerobot-record \
  --robot.type=so100_follower \
  --dataset.repo_id=<hf_user>/eval_<dataset> \
  --policy.path=<hf_user>/<desired_policy_repo_id> \
  --episodes=10

Prefix the dataset repo with eval_ and supply --policy.path pointing to a local or hub checkpoint.


Model Details
  • License: apache-2.0

Runs of godnpeter scratch_libero_singlegpu_refactor_fixloss_imageaug_code_original_0919 on huggingface.co

13
Total runs
0
24-hour runs
1
3-day runs
5
7-day runs
7
30-day runs

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