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用户反馈Qwen3.8-Flash-Next表现分化

AI 总结

一名Reddit用户称,Qwen3.8-Flash-Next在编码及相邻任务中表现良好,包括评估开源仓库和运行模型。但在通用研究中,该用户发现模型容易困惑,文字冗长且密集,后续回答也难以保持一致。测试使用Pi、llama.cpp、UD_Q4_K_M量化和MTP,采样参数则复制自Qwen3.8 27B。

深度见解

该反馈显示Qwen3.8-Flash-Next可能在本地编码与通用研究任务之间存在明显差异,但目前仅有单一用户陈述,尚待验证。

I was quite excited with how well QFN did with some coding and adjacent tasks (like evaluating OSS repos, downloading and running models etc.). Using it for more general research is starting to show that it isnt actually very intelligent and gets lost in its own maze seemingly.

Here's a recent example to a simple question: "Have humans always slept for a huge amount of time at once, like eight hours at once, or been multiple sleep sessions through the day from like the early modern civilization?"

The verbosity and dense way of writing is too much (feels like a lot of Opus 5 distillation)

Setup:

  • pi
  • llama.cpp, UD_Q4_K_M with MTP.
  • Copied from Qwen3.8 27B: --temp 1 --top-p 0.95 --top-k 20 --min-p 0.00 --presence-penalty 0 --repeat-penalty 1.0
  • Minimal AGENTS.md, mostly focused on sw related tasks

Chat session: https://share.jotbird.com/radiant-bold-desert-wind

TL;DR: forgetting the complexity of the first question, the responses to simple follow ups: "Are there logical inconsistencies inside your response?", "Why did this happen?" and "So how do we fix this so that it never happens again?" are** not only massive essays, but each "uncovers more" stuff. To the point I have lost faith in what QFN is saying**.

submitted by /u/rm-rf-rm [link] [comments]

#Qwen3.8-Flash-Next#Qwen3.8 27B#llama.cpp#Pi

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