Downloads · 30 days
0
3da-libero-gam
SeonghuJeon/3da-libero-gam
3da-libero-gam is a robotics model from SeonghuJeon. Use it for the robotics task on the model card, and read the license before you ship it in a product. The card lists the license as other.
This repository contains released GAM (Geometric Action Model) checkpoints for LIBERO and LIBERO-Plus evaluation.
Access
Public
Updated Jul 1, 2026
Repo size
70.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt70.8 GB · 100%
At a glance
- Task
- Robotics
- License
- other
- Access
- Public
- Created
- Jun 29, 2026
- Updated
- Jul 1, 2026
- SHA
- 72ca5c6e
Model card
From the Hugging Face model README
GAM LIBERO Checkpoints
This repository contains released GAM (Geometric Action Model) checkpoints for LIBERO and LIBERO-Plus evaluation.
| Suite key | LIBERO suite | Checkpoint | Config |
|---|---|---|---|
spatial | libero_spatial | spatial/gam.pt | spatial/config.yaml |
object | libero_object | object/gam.pt | object/config.yaml |
goal | libero_goal | goal/gam.pt | goal/config.yaml |
long | libero_10 | long/gam.pt | long/config.yaml |
Pretrained GAM Checkpoint
| Name | Checkpoint | Source |
|---|---|---|
pretrained-gam | pretrained/pretrained-gam.pt | SeonghuJeon/da3-shallow12-robocasa25-h8-step235000 (0235000.pt, step 235k) |
This checkpoint is provided under the simple pretrained-gam name for convenience.
It corresponds to the DA3 shallow12 RoboCasa25 H8 checkpoint at step 235000.
The configs are portable: stage_1.ckpt_path, dataset.hdf5_root, and
dataset.stats_dir resolve under ${DA3_ROOT} by default. Download
SeonghuJeon/3da-libero-training-assets into the repository root to provide
the DA3-Giant base checkpoint and LIBERO training assets.
Project page: https://cvlab-kaist.github.io/Geometric-Action-Model/ Paper: https://arxiv.org/abs/2606.17046 Code: https://github.com/JeonSeongHu/gam_test/tree/public/libero-da3giant
- Task
- Robotics
- License
- other
- Created
- Jun 29, 2026
- Updated
- Jul 1, 2026