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license: cc-by-nc-sa-4.0
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---
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license: cc-by-nc-sa-4.0
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base_model:
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- Qwen/Qwen3-VL-2B-Instruct
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tags:
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- robotics
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- vision-language-action-model
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library_name: transformers
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---
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# InternVLA-A1: Unifying Understanding, Generation and Action for Robotic Manipulation
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<div style="display: flex; justify-content: center; align-items: center; margin: 20px 0;">
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<img src="https://huggingface.co/spaces/Jia-Zeng/InternVLA_A1_Media/resolve/main/teaser_InternVLA-A1.jpg" alt="Teaser Image" style="max-width: 100%; border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
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</div>
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[](https://internrobotics.github.io/internvla-a1.github.io/paper/InternVLA_A1.pdf)
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[](https://github.com/InternRobotics/InternVLA-A1)
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[](https://huggingface.co/datasets/InternRobotics/InternData-A1)
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[](https://internrobotics.github.io/internvla-a1.github.io/)
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<strong>InternVLA-A1</strong> integrates understanding, generation, and action experts into a unified
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model, which synergizes MLLMs' semantic reasoning with world-model-style dynamics prediction to guide action execution.
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Building upon InternVL3 and Qwen3-VL, we instantiate InternVLA-A1 at 2B and 3B parameter scales. Covering different model scales and pre-training data configurations, we release the InternVLA-A1 series:
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- [x] [InternVLA-A1-3B](https://huggingface.co/InternRobotics/InternVLA-A1-3B): pretrained on the large-scale, high-fidelity simulation data [InternData-A1](https://huggingface.co/datasets/InternRobotics/InternData-A1), together with open-source robot data (e.g. Agibot-World)
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- [ ] [InternVLA-A1-3B-Pretrain-InternData-A1](https://huggingface.co/InternRobotics/InternVLA-A1-3B-Pretrain-InternData-A1): pretrained on InternData-A1 only
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- [ ] [InternVLA-A1-2B-Pretrain-InternData-A1](https://huggingface.co/InternRobotics/InternVLA-A1-2B-Pretrain-InternData-A1): pretrained on InternData-A1 only
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## 🔑 Key Features
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Architecturally, InternVLA-A1 employs a Mixture-of-Transformers (MoT) design to unify semantic un-
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derstanding, visual foresight, and action prediction, effectively synergizing high-level reasoning with
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low-level dynamics.
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<div style="display: flex; justify-content: center; align-items: center; margin: 20px 0;">
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<img src="https://huggingface.co/spaces/Jia-Zeng/InternVLA_A1_Media/resolve/main/method_InternVLA-A1.png" alt="Teaser Image" style="max-width: 100%; border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
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</div>
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Our hybrid synthetic-real pre-training strategy combines
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the scene diversity of simulation with the physical fidelity of real-world data.
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<div style="display: flex; justify-content: center; align-items: center; margin: 20px 0;">
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<img src="https://huggingface.co/spaces/Jia-Zeng/InternVLA_A1_Media/resolve/main/data_paramid.jpg" alt="Teaser Image" style="max-width: 100%; border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
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</div>
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## Demonstrations
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### ⚡ Dynamic Manipulation
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<div style="display: flex; flex-direction: column; align-items: center; gap: 10px;">
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<!-- First Row -->
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<div style="display: flex; justify-content: center; align-items: center; gap: 10px;">
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<video controls autoplay loop muted width="250" style="border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
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<source src="https://huggingface.co/spaces/Jia-Zeng/InternVLA_A1_Media/resolve/main/express_sorting_complete.mp4" type="video/mp4">
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</video>
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<video controls autoplay loop muted width="250" style="border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
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<source src="https://huggingface.co/spaces/Jia-Zeng/InternVLA_A1_Media/resolve/main/In-motion_Ingredient_Picking_4x.mp4" type="video/mp4">
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</video>
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</div>
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<!-- Second Row -->
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<div style="display: flex; justify-content: center; align-items: center; gap: 10px;">
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<video controls autoplay loop muted width="250" style="border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
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<source src="https://huggingface.co/spaces/Jia-Zeng/InternVLA_A1_Media/resolve/main/express_sorting_upright_3.mp4" type="video/mp4">
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</video>
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<video controls autoplay loop muted width="250" style="border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
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<source src="https://huggingface.co/spaces/Jia-Zeng/InternVLA_A1_Media/resolve/main/express_sorting_inverted_2.mp4" type="video/mp4">
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</video>
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</div>
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<!-- Third Row -->
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<div style="display: flex; justify-content: center; align-items: center; gap: 10px;">
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<video controls autoplay loop muted width="250" style="border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
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<source src="https://huggingface.co/spaces/Jia-Zeng/InternVLA_A1_Media/resolve/main/express_sorting_upright_2.mp4" type="video/mp4">
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</video>
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<video controls autoplay loop muted width="250" style="border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
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<source src="https://huggingface.co/spaces/Jia-Zeng/InternVLA_A1_Media/resolve/main/express_sorting_upright_1.mp4" type="video/mp4">
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</video>
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</div>
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<p><em>InternVLA-A1 exhibits exceptional robustness in highly dynamic scenarios.</em></p>
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</div>
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### 🤖 Daily tasks
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<div style="display: flex; flex-direction: column; align-items: center; gap: 10px;">
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<!-- First Row -->
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<div style="display: flex; justify-content: center; align-items: center; gap: 10px;">
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<video controls autoplay loop muted width="200" style="border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
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<source src="https://huggingface.co/spaces/Jia-Zeng/InternVLA_A1_Media/resolve/main/zig_bag_4x.mp4" type="video/mp4">
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</video>
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<video controls autoplay loop muted width="200" style="border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
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<source src="https://huggingface.co/spaces/Jia-Zeng/InternVLA_A1_Media/resolve/main/sort_parts_4x.mp4" type="video/mp4">
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</video>
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<video controls autoplay loop muted width="210" style="border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
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<source src="https://huggingface.co/spaces/Jia-Zeng/InternVLA_A1_Media/resolve/main/unscrew_cap_4x.mp4" type="video/mp4">
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</video>
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</div>
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<!-- Second Row -->
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<div style="display: flex; justify-content: center; align-items: center; gap: 10px;">
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<video controls autoplay loop muted width="200" style="border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
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<source src="https://huggingface.co/spaces/Jia-Zeng/InternVLA_A1_Media/resolve/main/wipe_stain_4x.mp4" type="video/mp4">
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</video>
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<video controls autoplay loop muted width="210" style="border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
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<source src="https://huggingface.co/spaces/Jia-Zeng/InternVLA_A1_Media/resolve/main/place_flower_4x.mp4" type="video/mp4">
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</video>
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<video controls autoplay loop muted width="200" style="border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
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<source src="https://huggingface.co/spaces/Jia-Zeng/InternVLA_A1_Media/resolve/main/sweep_trash_4x.mp4" type="video/mp4">
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</video>
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</div>
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<p><em>InternVLA-A1 also demonstrates superior proficiency in dexterous and fine-grained manipulation.</em></p>
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</div>
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## Usage
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Please refer to our official repo [InternVLA-A1](https://github.com/InternRobotics/InternVLA-A1).
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## License and Citation
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All the code within this repo are under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/). Please consider citing our project if it helps your research.
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```BibTeX
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@misc{contributors2026internvla_a1,
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title={InternVLA-A1: Unifying Understanding, Generation and Action for Robotic Manipulation},
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author={InternVLA-A1 contributors},
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year={2026}
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}
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```
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