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[Fix] fix typos in InternNav Doc (#10)
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source/en/user_guide/internnav/quick_start/installation.md

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@@ -207,7 +207,7 @@ To enable additional functionalities, several install flags are available:
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### Download Checkpoints
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1. **InternVLA-N1 pretrained Checkpoints**
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- Download our latest pretrained [checkpoint](https://huggingface.co/InternRobotics/InternVLA-N1) of InternVLA-N1 and run the following script to inference with visualization results. Move the checkpoint to the `checkpoints` directory.
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- Download our latest pretrained [checkpoint](https://huggingface.co/InternRobotics/InternVLA-N1-DualVLN) of InternVLA-N1 and run the following script to inference with visualization results. Move the checkpoint to the `checkpoints` directory.
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2. **DepthAnything v2 Checkpoints**
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- Download the DepthAnything v2 pretrained [checkpoint](https://huggingface.co/depth-anything/Depth-Anything-V2-Metric-Hypersim-Small/resolve/main/depth_anything_v2_metric_hypersim_vits.pth). Move the checkpoint to the `checkpoints` directory.
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source/en/user_guide/internnav/quick_start/training.md

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@@ -38,7 +38,7 @@ Alternatively, it can be jointly trained together with a System1 model for end-t
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```bash
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# training system2 separately
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sbatch ./scripts/train/base_train/qwenvl_train/train_system2.sh
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sbatch ./scripts/train/qwenvl_train/train_system2.sh
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```
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---
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```bash
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# training system1 based on system2
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sbatch ./scripts/train/base_train/qwenvl_train/train_dual_system.sh
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sbatch ./scripts/train/qwenvl_train/train_dual_system.sh
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```
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- For **w/ NavDP** model variant, set `system1=navdp_async`. Optimal performance is typically observed after **30,000 iterations**.

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