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Qwen 2.5 sparks context bleed debate

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Qwen 2.5 sparks context bleed debate
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// 91d agoNEWS

Qwen 2.5 sparks context bleed debate

A Reddit post in r/LocalLLaMA shows Qwen 2.5:7B, served through Ollama, answering a zero-context eval as if it were already mid-conversation. The thread treats it less as true retained memory and more as a revealing hallucination triggered by a prompt that assumes prior dialogue.

// ANALYSIS

This looks more like prompt-induced confabulation than spooky hidden memory, but it is still a useful warning for anyone building context-sensitive agents.

  • The prompt says “Based upon the conversation so far,” which nudges the model to invent a prior exchange instead of first checking whether any context exists.
  • The model’s reference to “me being Qwen from Alibaba Cloud” reads like a learned default persona leaking into an underspecified eval, not evidence of persistent session state.
  • For local LLM developers, the real lesson is eval hygiene: explicitly declare when no prior context exists, and test router prompts that do not presuppose a chat history.
// TAGS
qwen-2.5ollamallminferenceopen-weights

DISCOVERED

91d ago

2026-03-11

PUBLISHED

91d ago

2026-03-10

RELEVANCE

6/ 10

AUTHOR

KindnessBiasedBoar