Robotics
Transformers
Safetensors
dm05
text-generation
robot-control
vision-language-action
vla
dm0.5
opendm
Instructions to use Dexmal/DM05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dexmal/DM05 with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Dexmal/DM05", dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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## News
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- [2026-07-09] DM0.5 is officially released. Read the [technical blog](https://www.dexmal.com/blog/dm0.5/index_en.html) for more details.
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## Introduction
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## News
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- [2026-07-17] DM0.5 has open-sourced the RoboTwin2.0 generalist model checkpoint, along with the supervised fine-tuning (SFT) code built upon the DM0.5 pretrained model. See the [DM05 RoboTwin2.0 Training and Evaluation Guide](https://github.com/dexmal/opendm/blob/main/docs/en/dm05_robotwin2.md).
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- [2026-07-09] DM0.5 is officially released. Read the [technical blog](https://www.dexmal.com/blog/dm0.5/index_en.html) for more details.
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## Introduction
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