Light-WAM: Efficient World Action Models with State-Fusion Action Decoding
Paper β’ 2606.08242 β’ Published β’ 10
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Check out the documentation for more information.
This repository contains released checkpoints for Light-WAM: Efficient World Action Models with State-Fusion Action Decoding.
Released checkpoints:
lightwam_libero_spatial/lightwam_libero_object/lightwam_libero_goal/lightwam_libero_10/lightwam_robotwin/Each released model directory follows:
lightwam-checkpoints/<task_name>/
βββ config.yaml
βββ dataset_stats.json
βββ checkpoints/
βββ weights/
βββ step_xxxxxx.pt
Install the Hugging Face Hub CLI:
pip install -U huggingface_hub
Download all Light-WAM checkpoints:
hf download l1ziang/lightwam-checkpoints \
--local-dir lightwam-checkpoints