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  # 🚀 Model
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  The model is trained in **two progressive distillation stages**.
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- First, short-CoT data is used to distill **Qwen3-0.6B** into **AMD-0.6B-Turbo**, improving **AIME24 accuracy from 11.0 → 57.1**.
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- Then, long-CoT data is used to obtain **AMD-0.6B**, further boosting accuracy to **75.2**.
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  | Model | Description | AIME24 | Link |
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  | ------------------------- | ----------------------------------------------| ------ | ---- |
 
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  # 🚀 Model
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  The model is trained in **two progressive distillation stages**.
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+ First, short-CoT data is used to distill **Qwen3-0.6B** into **ReasonLite-0.6B-Turbo**, improving **AIME24 accuracy from 11.0 → 57.1**.
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+ Then, long-CoT data is used to obtain **ReasonLite-0.6B**, further boosting accuracy to **75.2**.
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  | Model | Description | AIME24 | Link |
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  | ------------------------- | ----------------------------------------------| ------ | ---- |