DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models (2025.acl-industry)
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| Challenge: | Existing studies on distilled lightweight LLMs have focused on transferring knowledge from a larger model (the teacher) to a smaller model (sector). |
| Approach: | They propose a family of distilled, lightweight LLMs derived from Qwen2.5 models. |
| Outcome: | Experimental results show that the distilled models have significantly stronger instruction-following capabilities than the original models. |
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