A user reports that applying the SwiReasoning technique to the Qwen 3.6 27b model results in more precise answers and significantly lower token consumption.

  • The method is approximately nine months old but has not yet seen widespread adoption.
  • While tokens per second may be slower, the reduced total token count makes the overall experience feel faster.
  • Community implementations are available via repositories such as sdc17/SwiReasoning and Antonbe1b/swireasoning-llamacpp.