Unverified50% confidenceFactExact time
A distilled model can retain 70–90% of the teacher model's capabilities.
1
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50%
Confidence
Long-term
Relevance
9/6/2026
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UnverifiedA 7-billion-parameter student model trained under the guidance of a 70-billion-parameter teacher model may retain 80–90% of the teacher's capability on most tasks.78% similarUnverified教师-学生蒸馏框架先训练可访问完整环境信息的教师策略，再蒸馏到仅依赖机载传感器的学生策略中以实现真实硬件部署63% similarUnverifiedDINOv2的核心训练策略基于自蒸馏，模型同时维护教师网络和学生网络，学生网络通过预测教师网络对同一图像不同裁剪视角的输出来学习特征表示63% similarVerifiedModel distillation uses soft labels from a large teacher model to train a small student model; the dark knowledge carried in the soft labels makes distillation more efficient than ordinary supervised learning.61% similar
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