lerobot

name	lerobot
description	Use when working on LeRobot workbench training, evaluation, serving, inference, dataset conversion, or robot policy workflows.

LeRobot

LeRobot is the default robot policy training framework. It supports ACT, Diffusion Policy, and SmolVLA (and additional VLAs / world models in 0.6.0).

Use it as the data standard and policy interface layer, not as a managed-service competitor to Hugging Face.

Supported versions

Version	Role	Image tag	Notes
0.5.1	Default	npa-lerobot:0.5.1	Current golden-eval pin; keep for GR00T N1.5 / sim2real policy image parity
0.6.0	Additional	npa-lerobot:0.6.0	Lean extras (training,evaluation,pusht,libero); --eval_freq → --env_eval_freq

Select with --lerobot-version on deploy / serverless train, or override the image with --image .../npa-lerobot:0.6.0.

Canonical manifest: npa/src/npa/deploy/lerobot_version_manifest.json.

Upstream release notes: https://huggingface.co/blog/lerobot-release-v060

Interfaces

API:

• POST /train
• POST /eval
• POST /serve
• POST /infer
• GET /list-checkpoints

CLI:

npa workbench lerobot deploy
npa workbench lerobot deploy --lerobot-version 0.6.0
npa workbench lerobot train
npa workbench lerobot train --runtime serverless --lerobot-version 0.6.0 ...
npa workbench lerobot eval
npa workbench lerobot serve
npa workbench lerobot infer
npa workbench lerobot list-checkpoints

Build both image tags:

npa/docker/workbench/lerobot/build.sh --all-versions
# or
npa/docker/workbench/lerobot/build.sh --version 0.6.0

Data Contract

Input format is LeRobotDataset in Hugging Face format. Use the SimToLeRobot adapter to convert Genesis or other simulation outputs.

Output is a policy checkpoint on S3.

Validation

• 9/9 E2E serverless tests pass on Nebius (default 0.5.1 image).
• Tier 1 validated on B300.
• 0.6.0: build npa-lerobot:0.6.0 and run the same golden env/functional smokes with NPA_LEROBOT_VERSION=0.6.0.