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Qwen 3.6 35B model performance tested for SVG generation

The Qwen 3.6 35B A3B model, specifically the Q8_0 quantized version, has been tested for its ability to generate an SVG of Darth Vader. Performance appears to degrade significantly when using four or fewer "experts," with eight being the default and recommended setting for this model. AI

IMPACT This provides insight into the capabilities and limitations of the Qwen 3.6 35B model for specific creative tasks.

RANK_REASON The cluster discusses the performance of a specific open-source language model on a particular task, which falls under research. [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 →

Qwen 3.6 35B model performance tested for SVG generation

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/temperature_5 ·

    Qwen 3.6 35B A3B Q8_0 "Create an SVG of a Darth Vader." at various expert counts.

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1uxyjw3/qwen_36_35b_a3b_q8_0_create_an_svg_of_a_darth/"> <img alt="Qwen 3.6 35B A3B Q8_0 &quot;Create an SVG of a Darth Vader.&quot; at various expert counts." src="https://preview.redd.it/9v4y7o1abkdh1.png?wi…