Expired50% confidenceFactExact time
The Qwen series of models includes a large volume of high-quality code corpora in its training data and has undergone specialized instruction fine-tuning for code generation, completion, and bug fixing.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Related Claims
UnverifiedPure reasoning models tend to produce unstable formatting when generating structured tool-calling instructions, and Qwen3's hybrid training has resolved this issue.78% similarUnverifiedA large number of domestic models use open-source models such as Qwen (Tongyi Qianwen) as a base, upon which pre-training and fine-tuning are completed before public release.74% similarUnverifiedQwen3采用四阶段训练流程，在后期专门针对混合推理能力进行对齐微调73% similarUnverifiedThe training paradigm for large code models typically consists of three stages: pre-training on massive code corpora, instruction fine-tuning to enable the model to understand programming tasks, and optimizing output quality through RLHF.72% similarUnverifiedInstruction fine-tuning uses a dataset in question-answer pair format for training, enabling the model to better follow natural language instructions71% similar
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