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Qwen 3.5 draws local speed backlash

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Qwen 3.5 draws local speed backlash
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// 83d agoNEWS

Qwen 3.5 draws local speed backlash

A Reddit thread in r/LocalLLaMA argues that Qwen 3.5 models feel much slower in llama.cpp than earlier Qwen releases, turning local inference efficiency into the real story around the launch. The post also ties that slowdown to reported Qwen team departures, but those motive claims are speculative and not established by evidence in the thread.

// ANALYSIS

This is a useful signal about open-weight developer expectations, but not a cleanly sourced scandal story. The measurable part is local performance anxiety; the layoffs-and-sabotage narrative is rumor layered on top.

  • Qwen officially positioned Qwen 3.5 as a major new generation, so regressions in local throughput matter more than usual for power users running GGUFs and llama.cpp
  • Multiple recent community posts point to mixed or disappointing local speed on some Qwen 3.5 setups, which makes deployment friction a real adoption risk
  • For open-weight model families, tokens per second is not a side metric; it directly affects whether developers actually test, fine-tune, and recommend the models
  • Outside reporting confirms leadership changes around the Qwen team, but that does not prove the Reddit post's theory that slower models were a deliberate business move against local use
// TAGS
qwenllminferencebenchmarkopen-weights

DISCOVERED

83d ago

2026-03-06

PUBLISHED

83d ago

2026-03-06

RELEVANCE

8/ 10

AUTHOR

el-rey-del-estiercol