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  <a href="https://github.com/NVlabs/EGM">[Code]</a> &nbsp;
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  ## Model Summary
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  **EGM-Qwen3-VL-8B** is the flagship model of the [EGM (Efficient Visual Grounding Language Models)](https://nvlabs.github.io/EGM) family. It is built on top of [Qwen3-VL-8B-Thinking](https://huggingface.co/Qwen/Qwen3-VL-8B-Thinking) and trained with a two-stage pipeline: supervised fine-tuning (SFT) followed by reinforcement learning (RL) using GRPO (Group Relative Policy Optimization).
 
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  <a href="https://github.com/NVlabs/EGM">[Code]</a> &nbsp;
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  </p>
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+ <img src="https://nvlabs.github.io/EGM/figure4.jpeg" width="90%"/>
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  ## Model Summary
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  **EGM-Qwen3-VL-8B** is the flagship model of the [EGM (Efficient Visual Grounding Language Models)](https://nvlabs.github.io/EGM) family. It is built on top of [Qwen3-VL-8B-Thinking](https://huggingface.co/Qwen/Qwen3-VL-8B-Thinking) and trained with a two-stage pipeline: supervised fine-tuning (SFT) followed by reinforcement learning (RL) using GRPO (Group Relative Policy Optimization).