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Bump to v0.3.0 (#218)
* bump version to 0.3.0 * add introduction for VLLN * Update README.md * Update release date for InternNav v0.3.0 --------- Co-authored-by: Tai Wang <[email protected]>
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README.md

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@@ -37,7 +37,9 @@ The toolbox supports the most advanced high-quality navigation dataset, InternDa
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## 🔥 News
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| Time | Update |
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|---------|--------|
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| 2025/12 | Training code for InternVLA-N1 is now available. This release provides two model configurations: InternVLA-N1 (Dual System)<span style="color: #28a745; font-size: 0.9em"> with NavDP*</span> and InternVLA-N1 (Dual System)<span style="color: #28a745; font-size: 0.9em"> DualVLN </span>. For model architecture and training details, please refer to the [DualVLN paper](https://arxiv.org/abs/2512.08186).|
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| 2026/01 | InternNav v0.3.0 released. |
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| 2025/12 | We introduce Interactive Instance Goal Navigation (IIGN) and release VL-LN Bench to enable InternVLA-N1 to solve this task, with large-scale dialog-trajectory collection plus training and evaluation support. See [our website](https://0309hws.github.io/VL-LN.github.io/) for details.|
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| 2025/12 | Training code for InternVLA-N1 and the corresponding [usage doc](https://internrobotics.github.io/user_guide/internnav/quick_start/training.html) is now available. This release provides two model configurations: InternVLA-N1 (Dual System)<span style="color: #28a745; font-size: 0.9em"> with NavDP*</span> and InternVLA-N1 (Dual System)<span style="color: #28a745; font-size: 0.9em"> DualVLN </span>. For model architecture and training details, please refer to the [DualVLN paper](https://arxiv.org/abs/2512.08186).|
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| 2025/11 | InternNav v0.2.0 released — added distributed evaluation support for VLN-PE.|
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| 2025/10 | Add a [inference-only demo](scripts/notebooks/inference_only_demo.ipynb) of InternVLA-N1. |
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| 2025/10 | InternVLA-N1 [technical report](https://internrobotics.github.io/internvla-n1.github.io/static/pdfs/InternVLA_N1.pdf) is released. Please check our [homepage](https://internrobotics.github.io/internvla-n1.github.io/). |

setup.py

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setuptools.setup(
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name='internnav',
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version='0.2.0',
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version='0.3.0',
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packages=setuptools.find_packages(),
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author='Intern Robotics',
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author_email='[email protected]',
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# envs
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"isaac": isaac_requires,
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"habitat": habitat_requires,
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"demo": [
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"gradio==5.45",
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"hf-xet==1.1.5",
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"huggingface-hub==0.33.4",
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],
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# models
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"internvla_n1": n1_requires,
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"baseline": model_requires,

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