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license: mit
task_categories:
- video-classification
- reinforcement-learning
- robotics
language:
- en
tags:
- Chain-of-Frames
- Video-Reasoning
- Visual-Planning
- Maze
- Wan
size_categories:
- 10K<n<100K
base_model:
- Wan-AI/Wan2.2-TI2V-5B
pipeline_tag: image-to-video
---
<h2 align="center">🎯 <em>Wan‑R1: A <strong>Reasoning‑via‑Video</strong> Maze‑Solving Model</em> 🎯</h2>
<h2>🧠 Models</h2>
<table>
<thead>
<tr>
<th style="text-align: center;">Model</th>
<th style="text-align: center;">Download</th>
<th style="text-align: left;">Description</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align: center; vertical-align: middle;"><strong>Wan_R1_3d_maze_5B</strong></td>
<td style="text-align: center; vertical-align: middle;">🤗 <a href="https://huggingface.co/HY-Wan/Wan-R1/blob/main/Wan_R1_3d_maze_wan22_5b_lora.safetensors">HuggingFace</a></td>
<td style="vertical-align: middle;">Fine-tuned LoRA for <a href="https://huggingface.co/datasets/amagipeng/VR-Bench">Maze3D</a> tasks (easy, medium, and hard) from the base model <a href="https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B">Wan2.2-TI2V-5B</a>.</td>
</tr>
<tr>
<td style="text-align: center; vertical-align: middle;"><strong>Wan_R1_irregular_maze_5B</strong></td>
<td style="text-align: center; vertical-align: middle;">🤗 <a href="https://huggingface.co/HY-Wan/Wan-R1/blob/main/Wan_R1_irregular_maze_wan22_5b_lora.safetensors">HuggingFace</a></td>
<td style="vertical-align: middle;">Fine-tuned LoRA for <a href="https://huggingface.co/datasets/amagipeng/VR-Bench">PathFinder</a> tasks (easy, medium, and hard) from base model <a href="https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B">Wan2.2-TI2V-5B</a>.</td>
</tr>
<tr>
<td style="text-align: center; vertical-align: middle;"><strong>Wan_R1_regular_maze_5B</strong></td>
<td style="text-align: center; vertical-align: middle;">🤗 <a href="https://huggingface.co/HY-Wan/Wan-R1/blob/main/Wan_R1_regular_maze_wan22_5b_lora.safetensors">HuggingFace</a></td>
<td style="vertical-align: middle;">Fine-tuned LoRA for <a href="https://huggingface.co/datasets/amagipeng/VR-Bench">Maze</a> tasks (easy, medium, and hard) from base model <a href="https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B">Wan2.2-TI2V-5B</a>.</td>
</tr>
<tr>
<td style="text-align: center; vertical-align: middle;"><strong>Wan_R1_sokoban_5B</strong></td>
<td style="text-align: center; vertical-align: middle;">🤗 <a href="https://huggingface.co/HY-Wan/Wan-R1/blob/main/Wan_R1_sokoban_wan22_5b_lora.safetensors">HuggingFace</a></td>
<td style="vertical-align: middle;">Fine-tuned LoRA for <a href="https://huggingface.co/datasets/amagipeng/VR-Bench">Sokoban</a> tasks (easy, medium, and hard) from base model <a href="https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B">Wan2.2-TI2V-5B</a>.</td>
</tr>
<tr>
<td style="text-align: center; vertical-align: middle;"><strong>Wan_R1_trapfield_5B</strong></td>
<td style="text-align: center; vertical-align: middle;">🤗 <a href="https://huggingface.co/HY-Wan/Wan-R1/blob/main/Wan_R1_trapfield_wan22_5b_lora.safetensors">HuggingFace</a></td>
<td style="vertical-align: middle;">Fine-tuned LoRA for <a href="https://huggingface.co/datasets/amagipeng/VR-Bench">TrapField</a> tasks (easy, medium, and hard) from base model <a href="https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B">Wan2.2-TI2V-5B</a>.</td>
</tr>
</tbody>
</table> |