Downloads · 30 days
4
3% of all-time downloads
iFaz/diff-aloha-policy-v4
diff-aloha-policy-v4 is a robotics model from iFaz. Use it for the robotics task on the model card, and read the license before you ship it in a product. It is set up for lerobot. The card lists the license as apache-2.0.
Trained with LeRobot. Date: 2026-06-03 08:08 Policy type: diffusion | Device: cuda
Downloads · 30 days
4
3% of all-time downloads
All-time downloads
129
Public
Parameters
263M
10.5 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors1.1 GB · 100%
From the Hugging Face model README
Trained with LeRobot.
Date: 2026-06-03 08:08
Policy type: diffusion | Device: cuda
| Parameter | Value |
|---|---|
dataset.repo_id | lerobot/aloha_sim_transfer_cube_human |
| Parameter | Value |
|---|---|
steps | 5 |
batch_size | 8 |
eval_freq | 2 |
save_freq | 2 |
num_workers | 4 |
seed | 42 |
eval.n_episodes | 2 |
eval.batch_size | 1 |
All defaults — no overrides applied.
| Parameter | Value |
|---|---|
env.type | aloha |
env.task | AlohaTransferCube-v0 |
eval.n_episodes | 5 |
eval.batch_size | 1 |
policy.path | /kaggle/working/outputs/train/aloha_diff_baseline/checkpoints/last/pretrained_model |
| Metric | Value |
|---|---|
| Episodes | 5 |
| Success rate | 0.0% |
| Avg sum reward | 0.60 |
| Avg max reward | 0.60 |
| Eval time (s) | 1102.7 |
@misc{cadene2024lerobot,
author = {Cadene, Remi and Alibert, Simon and others},
title = {LeRobot},
year = {2024},
url = {https://github.com/huggingface/lerobot}
}