Dexmal/libero
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How to use Dexmal/DM05-libero with Transformers:
# Load model directly
from transformers import AutoModelForSeq2SeqLM
model = AutoModelForSeq2SeqLM.from_pretrained("Dexmal/DM05-libero", dtype="auto")DM05-libero is the LIBERO fine-tuned checkpoint of DM0.5, Dexmal's open-world Vision-Language-Action foundation model for embodied intelligence. DM0.5 uses a Gemma3 4B vision-language backbone with a 680M Action Expert to generate continuous robot actions, and is designed for natural-language manipulation, zero-shot generalization, efficient downstream fine-tuning, long-horizon historical context, robust policy behavior, and transfer across robot embodiments.
| Method | Spatial | Object | Goal | Long | Average |
|---|---|---|---|---|---|
| DM0.5 | 99.0 | 99.8 | 99.6 | 97.4 | 99.0 |
This model is intended to be used with the OpenDM LIBERO workflow. See the OpenDM README and LIBERO guide for installation, checkpoint download, inference service startup, and benchmark evaluation commands.
@misc{dm05,
title = {{DM0.5}: An Open-World Foundation Model for General-Purpose Embodied Intelligence},
author = {{Dexmal Team}},
month = {July},
year = {2026},
url = {https://www.dexmal.com/blog/dm0.5/index_en.html}
}
Base model
Dexmal/DM05
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Dexmal/DM05-libero", dtype="auto")