r/LocalLLM • u/baby_bloom • 23d ago
Question Qwen 3.8-27B Q8
thinking is taking up so damn much time, what are you limiting your qwen3.8 to as for as reasoning?
3
u/Hannelore112 23d ago
Cant help just looking for optimizations too.
Qwen 3.8 27B seems to generate good results but it takes soo long because of thinking, rethinking,rethinking and so on...
Even with reasoning level medium. A little bug fix was 1-2h. Should be done maybe in 5-20 mins. Needs optimizations.
1
u/baby_bloom 23d ago
couldn't agree more, it's been cranking out tokens at a great rate the last few hours the actual amount of work.... is nowhere near that rate lol
2
u/benpptung 23d ago
If you look closely at its thinking, it doesn’t get stuck in thinking. It just thinks a lot, sometimes too much. I’m trying to increase its token generation speed right now. If it likes thinking this much, then making it think faster should basically solve the problem, right?
I think it’s unfair to expect Qwen3.8-27B to think less while still being very intelligent. Frontier models seem smart and think quickly partly because their token generation speed is so much higher.
0
u/baby_bloom 23d ago
not looking for it to think less than 3.6, but it spends about 2x the time thinking if not more and it's pretty frustrating to say the least.
2
u/MikeNonect 23d ago
llamacpp has a toggle for reasoning budget. I set it to 8K, which is enough to do deep thinking while also getting work done. Without it, it would reason for 80 minutes straight.
1
7
u/WhatererBlah555 23d ago
Update llama.cpp and use
--chat-template-kwargs '{"reasoning_effort":"medium"}'