A user conducted tests comparing Qwen3.8 27B dense models (Q2 and Q3 quantization) against the Qwen3.6 35B-A3B MoE model on a 12GB VRAM GPU. The Qwen3.8 27B Q3 model achieved perfect scores on a sanity prompt but had a generation speed of 7.5 tokens/second. The Qwen3.6 35B-A3B MoE model also achieved perfect scores and offered a significantly faster generation speed of 59 tokens/second, despite a slightly slower prompt processing time. In a short paragraph test, the MoE model was preferred for its balance of speed and quality on limited hardware. AI
IMPACT Demonstrates the performance trade-offs of MoE vs. dense models and quantization levels on consumer hardware, guiding optimal model selection for limited VRAM.
RANK_REASON User-conducted benchmark comparing different model quantizations and architectures on specific hardware. [lever_c_demoted from research: ic=1 ai=1.0]
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