Twitter/X

LeWorldModel was announced as newly available on Hugging Face with datasets and…

Brief

LeWorldModel was announced as newly available on Hugging Face with datasets and checkpoints that integrate directly with stable-worldmodel, the engine behind the project. The accompanying claim is that the system makes JEPA-style world models practical to train end-to-end from pixels, using a 15M-parameter model that runs on a single GPU and completes planning in less than a second.

Source evidence

title: @quentinlldc: 🚀 LeWorldModel datasets & checkpoints are now available on Hugging Face!
huggingface.co/collecti...
author: @quentinlldc
contenttype: tweet
publication: Twitter/X
published: 2026-03-31T14:27:04+00:00
source
url: https://x.com/quentinlldc/status/2038986438088257558

word_count: 80

🚀 LeWorldModel datasets & checkpoints are now available on Hugging Face!
huggingface.co/collections/q…
You can plug them directly into stable-worldmodel (github.com/galilai-group/sta…), the engine behind LeWorldModel, to instantly load, run, and start building on top of our models.

Lucas Maes (@lucasmaes_)

JEPA are finally easy to train end-to-end without any tricks!

Excited to introduce LeWorldModel: a stable, end-to-end JEPA that learns world models directly from pixels, no heuristics.

15M params, 1 GPU, and full planning <1 second.

📑: le-wm.github.io

Video

— https://nitter.net/lucasmaes_/status/2036080584569618741#m