Dexmal commited on
update README
Browse files- README.md +53 -1
- norm_stats.json +42 -162
README.md
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---
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license:
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---
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---
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license: mit
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library_name: transformers
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base_model:
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- Dexmal/DM05
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datasets:
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- Dexmal/libero
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tags:
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- robotics
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- robot-control
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- vision-language-action
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- vla
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- dm05
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- dm0.5
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- libero
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- opendm
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---
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# DM05-libero
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[](https://github.com/dexmal/opendm) [](https://huggingface.co/datasets/Dexmal/libero) [](https://huggingface.co/Dexmal) [](https://www.dexmal.com/blog/dm0.5/index_en.html)
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DM05-libero is the LIBERO fine-tuned checkpoint of DM0.5, Dexmal's open-world
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Vision-Language-Action foundation model for embodied intelligence. DM0.5 uses a
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Gemma3 4B vision-language backbone with a 680M Action Expert to generate
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continuous robot actions, and is designed for natural-language manipulation,
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zero-shot generalization, efficient downstream fine-tuning, long-horizon
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historical context, robust policy behavior, and transfer across robot
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embodiments.
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## LIBERO Results
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| Method | Spatial | Object | Goal | Long | Average |
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| --- | ---: | ---: | ---: | ---: | ---: |
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| DM0.5 | 99.0 | 99.8 | 99.6 | 97.4 | 99.0 |
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## How to Use
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This model is intended to be used with the OpenDM LIBERO workflow. See the
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[OpenDM README](https://github.com/dexmal/opendm) and
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[LIBERO guide](https://github.com/dexmal/opendm/blob/main/docs/en/libero.md)
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for installation, checkpoint download, inference service startup, and benchmark
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evaluation commands.
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## Citation
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```bibtex
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@misc{dm05,
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title = {{DM0.5}: An Open-World Foundation Model for General-Purpose Embodied Intelligence},
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author = {{Dexmal Team}},
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month = {July},
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year = {2026},
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url = {https://www.dexmal.com/blog/dm0.5/index_en.html}
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}
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```
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