Update README.md

README.md

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-tags:
-- pytorch_model_hub_mixin
-- model_hub_mixin
+license: mit
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+# RDT-1B
 
-This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
-- Library: https://huggingface.co/robotics-diffusion-transformer/rdt-1b
-- Docs: [More Information Needed]
+RDT-1B is a 1B-parameter imitation learning Diffusion Transformer pre-trained on 1M+ multi-robot episodes. Given a language instruction and 3-view RGB image observations, RDT can predict the next 
+64 robot actions. RDT is inherently compatible with almost all kinds of modern mobile manipulators, from single-arm to dual-arm, joint to EEF, pos. to vel., and even with a mobile chassis.
+
+All the code and model weights are licensed under MIT license.
+
+Please refer to our [project page](), [github repository]() and [paper]() for more information.
+
+## Model Details
+
+- **Developed by** Thu-ml team
+- **License:** MIT
+- **Pretrain dataset:** [More Information Needed]
+- **Finetune dataset:** [More Information Needed]
+
+- **Repository:** [More Information Needed]
+- **Paper :** [More Information Needed]
+- **Project Page:** https://rdt-robotics.github.io/rdt-robotics/
+
+## Uses
+
+RDT-1B supports finetuning and pre-training on custom dataset, as well as deploying and inferencing on real-robots.
+
+Please refer to [our repository](https://github.com/GeneralEmbodiedSystem/RoboticsDiffusionTransformer/blob/main/docs/pretrain.md) for all the above guides.
+
+
+## Citation 
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]