Update README.md

README.md

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 # Spatial-SSRL-3B
 
 📖<a href="https://arxiv.org/abs/2510.27606">Paper</a>| 🏠<a href="https://github.com/InternLM/Spatial-SSRL">Github</a> |🤗<a href="https://huggingface.co/internlm/Spatial-SSRL-7B">Spatial-SSRL-7B Model</a> | 
-🤗<a href="https://huggingface.co/internlm/Spatial-SSRL-Qwen3VL-4B">Spatial-SSRL-Qwen3VL-4B Model</a> |
+🤗<a href="https://huggingface.co/internlm/Spatial-SSRL-3B">Spatial-SSRL-3B Model</a> | 🤗<a href="https://huggingface.co/internlm/Spatial-SSRL-Qwen3VL-4B">Spatial-SSRL-Qwen3VL-4B Model</a> | 
   🤗<a href="https://huggingface.co/datasets/internlm/Spatial-SSRL-81k">Spatial-SSRL-81k Dataset</a> | 📰<a href="https://huggingface.co/papers/2510.27606">Daily Paper</a> 
 
-Spatial-SSRL-7B is a large vision-language model targeting spatial understanding, built on the base of Qwen2.5-VL-7B. It's optimized by applying Spatial-SSRL, a lightweight self-supervised reinforcement learning
+Spatial-SSRL-3B is a large vision-language model targeting spatial understanding, built on the base of Qwen2.5-VL-3B. It's optimized by applying Spatial-SSRL, a lightweight self-supervised reinforcement learning
 paradigm which can scale RLVR efficiently. The model demonstrates strong spatial intelligence while preserving the original general visual capabilities of the base model. 
 
 ## 📢 News
+- 🚀 [2026/02/25] We have released the [🤗Spatial-SSRL-3B Model](https://huggingface.co/internlm/Spatial-SSRL-3B), initialized from Qwen2.5-VL-3B-Instruct.
 - 🚀 [2025/11/24] We have released the [🤗Spatial-SSRL-Qwen3VL-4B Model](https://huggingface.co/internlm/Spatial-SSRL-Qwen3VL-4B), initialized from Qwen3-VL-4B-Instruct.
 - 🚀 [2025/11/03] Now you can try out Spatial-SSRL-7B on [🤗Spatial-SSRL Space](https://huggingface.co/spaces/yuhangzang/Spatial-SSRL).
 - 🚀 [2025/11/03] We have released the [🤗Spatial-SSRL-7B Model](https://huggingface.co/internlm/Spatial-SSRL-7B), and [🤗Spatial-SSRL-81k Dataset](https://huggingface.co/datasets/internlm/Spatial-SSRL-81k).