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EBench-Generalist-InternVLA-A1
hxma/EBench-Generalist-InternVLA-A1
EBench-Generalist-InternVLA-A1 is a robotics model from hxma. Use it for the robotics task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This repository contains the weights for the model evaluated in the paper EBench: Elemental Diagnosis of Generalist Mobile Manipulation Policies.
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From the Hugging Face model README
This repository contains the weights for the model evaluated in the paper EBench: Elemental Diagnosis of Generalist Mobile Manipulation Policies.
- Project Page: EBench Home
- Repository: EBench GitHub
- Paper: EBench: Elemental Diagnosis of Generalist Mobile Manipulation Policies
Introduction
EBench is an indoor VLA (Vision-Language-Action) manipulation benchmark built on NVIDIA Isaac Sim. Instead of compressing a model's behavior into a single overall success rate, it produces a multi-axis capability profile that exposes what a model is good at — and where it overfits.
This model is the InternVLA-A1-3B base model evaluated as a baseline on the EBench dataset.
Citation
If you find EBench useful, please consider citing:
@misc{ebench2026,
title = {EBench: Elemental Mobile Manipulation Benchmark},
author = {Shanghai AI Laboratory},
year = {2026},
note = {Preprint coming soon},
url = {https://internrobotics.github.io/EBench-doc/}
}
- Task
- Robotics
- License
- mit
- Created
- Apr 27, 2026
- Updated
- Jul 1, 2026