Whats the catch with SwiReasoning?

Reddit r/LocalLLaMA Papers

Summary

SwiReasoning is a reasoning technique that improves answer accuracy and reduces token usage, making inference feel faster despite lower tokens per second. The technique is 9 months old but underutilized, with open-source implementations available.

I just heard about SwiReasoning and tried it out on Qwen 3.6 27b and im kinda surprised. Its answers are more on point and it solves questions aloooot quicker. It seems a bit slower in t/s but the amount of tokens it needs is so much lower, it feels faster. Anybody else tried it? Wheres the catch? Its a 9 month old technique, why isnt it all over the place? Sources: - https://github.com/sdc17/SwiReasoning - https://github.com/Antonbe1b/swireasoning-llamacpp
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