Unverified50% confidenceSolutionExact time
The student model in 2.0 training cannot see the hidden instructions, thereby internalizing the behavior rather than relying on prompt triggers; the backbone is the same 27B model with a second LoRA stacked on top and merged.
1
Sources
50%
Confidence
Long-term
Relevance
10/2/2026
First Seen
Sources
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Related Claims
UnverifiedCapabilities for specific tasks such as face swapping are often released in the form of LoRA, rather than retraining a complete model.70% similarVerifiedAfter LoRA training is complete, the low-rank matrices can be merged back into the original weights, introducing no additional latency during inference.68% similarUnverified指令微调不需要从头训练，通常仅需基础训练计算量的1%以下即可显著改变模型行为模式68% similarUnverifiedThe skill package pattern guides model behavior through a layer of engineering specification constraints without requiring the model to be retrained.67% similar
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