DM05
Collection
Dexmal's next-generation Vision-Language-Action model (VLA) for open-world robot control. • 2 items • Updated • 2
How to use Dexmal/DM05 with Transformers:
# Load model directly
from transformers import AutoModelForSeq2SeqLM
model = AutoModelForSeq2SeqLM.from_pretrained("Dexmal/DM05", dtype="auto")DM05 is the base checkpoint of DM0.5, Dexmal's open-world Vision-Language-Action foundation model for embodied intelligence. It 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.
This model is intended to be used with OpenDM. See the OpenDM README for installation, checkpoint download, inference, fine-tuning, and 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}
}