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

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 →

• Apple Silicon
• Q4
• Qwen2.5-Coder-7B

• model release

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