Code2Logic
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Game-RL-Qwen2.5-VL-7B

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text-generation-inference

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lkdhy commited on Jun 15

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@@ -12,6 +12,8 @@ base_model:
 <div align=center><img src="https://raw.githubusercontent.com/tongjingqi/Code2Logic/refs/heads/main/assets/evaluation_results_on_general_vision_benchmarks.png"></div>
 It's also found that getting trained on 5k samples from our GameQA dataset can lead to better results than on [multimodal-open-r1-8k-verified](https://huggingface.co/datasets/lmms-lab/multimodal-open-r1-8k-verified).
 <div align=center><img src="https://raw.githubusercontent.com/tongjingqi/Code2Logic/refs/heads/main/assets/GameQA_generalizes_better.png"></div>

 <div align=center><img src="https://raw.githubusercontent.com/tongjingqi/Code2Logic/refs/heads/main/assets/evaluation_results_on_general_vision_benchmarks.png"></div>
+***(The inference and evaluation configurations were unified across both the original open-source models and our trained models.)***
 It's also found that getting trained on 5k samples from our GameQA dataset can lead to better results than on [multimodal-open-r1-8k-verified](https://huggingface.co/datasets/lmms-lab/multimodal-open-r1-8k-verified).
 <div align=center><img src="https://raw.githubusercontent.com/tongjingqi/Code2Logic/refs/heads/main/assets/GameQA_generalizes_better.png"></div>