README.md

---
license: mit
library_name: lerobot
pipeline_tag: robotics
tags:
- lerobot
- eo1
- vision-language-action
base_model: IPEC-COMMUNITY/EO-1-3B
---

# EO-1 base for LeRobot

This is a lossless key-layout conversion of
[`IPEC-COMMUNITY/EO-1-3B`](https://huggingface.co/IPEC-COMMUNITY/EO-1-3B) at revision
`fe0a015d9349bdf886d898809213b3574eedf1f9` for LeRobot's native `eo1` policy implementation.

The checkpoint preserves the released EO-1 Qwen vision-language weights,
language-model head, state/action projectors, and flow-matching head. Its defaults
match the release: action chunk size 16, maximum state/action dimension 32, two
action-projector layers, and ten denoising steps.

Use `--policy.path=lerobot/eo1-base` for training or rollout. LeRobot then
applies the dataset or environment's camera, state, and action feature shapes
before instantiating the policy.