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DeeR VLA · yueyang130
DeeR-VLA studies dynamic multimodal-model inference for robot execution.
Overview
DeeR-VLA studies dynamic multimodal-model inference for robot execution.
Publisher summary: “Official code of paper "DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution"”
Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.
Project information
- Maintainer
- yueyang130
- Primary language
- Python
- Repository code license
- Apache-2.0
- Model-weight license
- Not recorded
- Dataset license
- Not recorded
- Hardware design license
- Not recorded
- Maintenance
- Not archived in the last recorded metadata
- Last observed repository push
- 2025-02-14
Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.
Documentation sections
- Overview
- Performance on CALVIN Benchmark
- Installation
- Common Errors
- Dynamic Inference with Pretrained Models
- 1. Download Models
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