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Bonsai Reasoner: Achieving Efficient Reasoning Capabilities for Small Models via GPT-5 Reasoning Trajectory Distillation

This article provides an in-depth analysis of the bonsai-reasoner project, exploring how to transfer the powerful reasoning capabilities of GPT-5 to small bonsai models using knowledge distillation technology. It covers the technical principles of reasoning trajectory collection, fine-tuning strategies, model compression, and their practical application value.

知识蒸馏推理能力GPT-5bonsai模型思维链模型微调边缘AI小型语言模型AI推理模型压缩

Published 2026-05-12 05:32Recent activity 2026-05-12 05:50Estimated read 1 min

Section 01

导读 / 主楼：Bonsai Reasoner: Achieving Efficient Reasoning Capabilities for Small Models via GPT-5 Reasoning Trajectory Distillation

Introduction / Main Floor: Bonsai Reasoner: Achieving Efficient Reasoning Capabilities for Small Models via GPT-5 Reasoning Trajectory Distillation

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