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Döner Bench benchmark compares quantized AI models on Reddit

A user on Reddit's r/LocalLLaMA forum conducted a second round of comparisons for the Döner Bench benchmark, focusing on different quantization levels of the same models. The user tested models like Qwen 3.6 and Gemma 4, evaluating their ability to generate a specific HTML file depicting a rotating döner kebab. While higher quantizations generally performed better, even lower quantizations were assessed by selecting the best subjective result from multiple runs, with the user noting a loss of "finesse" and "yumminess" in lower-quality versions. AI

IMPACT Provides insights into the performance degradation of quantized models for specific creative tasks.

RANK_REASON User-conducted benchmark comparison of quantized AI models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

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

Döner Bench benchmark compares quantized AI models on Reddit

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Excellent_Jelly2788 ·

    Döner Bench round 2: Quant compare

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1uqs7ws/döner_bench_round_2_quant_compare/"> <img alt="Döner Bench round 2: Quant compare" src="https://external-preview.redd.it/aHNib2Q5bHAyMGNoMWRXry_MhLp2kjsX77lmEripEO1sa2FDlEIMcX_wFDBT.png?width=640&amp;c…