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Qwen2.5-Coder-7B: Quantization impacts failure modes, not just scores

By PulseAugur Editorial · [1 sources] ·

A user tested two quantization levels of the Qwen2.5-Coder-7B model, Q8 and Q4, on a multi-step agent task. Despite achieving identical pass rates on easy and medium tiers, and even on the hard tier where both models only passed 1 of 4 tasks, their failure modes differed significantly. The Q8 version exhibited recklessness by executing a forbidden tool call, while the Q4 version became stuck in a loop, unable to progress. This distinction highlights how quantization can alter a model's failure characteristics, impacting debugging and prompting strategies. AI

IMPACT Highlights the importance of testing model failure modes beyond simple benchmarks, especially for agentic tasks.

RANK_REASON User-generated analysis of model performance and failure modes, not a primary release or research paper.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Qwen2.5-Coder-7B: Quantization impacts failure modes, not just scores

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User-generated analysis of model performance and failure modes, not a primary release or research paper.
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94 days old
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Dhanush G ·

    Qwen 2.5 Coder 7B Q4 vs Q8 scored the same on my agent test, then I read *how* they failed

    <p><a href="https://dev.tourl"></a>I ran Qwen2.5-Coder-7B at Q8 and Q4 through the same multi-step agent test. Same pass rate at every tier. But on the hardest tier they failed in two completely different ways — and that difference says more than the score does.</p> <p>If you run…

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