Unverified50% confidenceFactExact time
A smaller 4B model can be an excellent 'teacher' for writing skills to a 27B large model, because the smaller model is forced to write highly explicit, step-by-step operation guides.
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8/31/2026
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UnverifiedSmaller models are forced to produce highly explicit, step-by-step operational instructions, which happen to be exactly the type of input that large models are good at executing.78% similarUnverified少样本学习通过在Prompt中提供2-5个示例帮助模型快速理解输出格式和风格要求71% similarUnverified若训练集能充分覆盖推理时可能出现的工具类型和参数组合，小模型同样能学到可靠的格式生成能力，而不必依赖大模型的深层语义推理70% similarUnverifiedModel distillation softens the teacher model's softmax outputs via temperature scaling, allowing information from low-probability classes to be transferred to the student model.70% similarUnverifiedSmaller models can handle fewer instructions than larger models, and non-reasoning models can handle fewer instructions than reasoning models.67% similar
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