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Gemma4 26B Q8 vs Qwen3.5 27B Coding Benchmarks

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πŸ¦™Read original on Reddit r/LocalLLaMA
#benchmarks#quantization#moe-vs-dense#tool-callinggemma-4-26b-moe-/-qwen-3.5-27b-/-gemma-4-31b

πŸ’‘Dense models hit 100% fixes in coding evalsβ€”key for local agent builders

⚑ 30-Second TL;DR

What Changed

Qwen3.5-27B Q4 and Gemma4-31B Q4 achieve 37/37 fixes (100%) with 0 regressions

Why It Matters

Dense models like Qwen3.5-27B excel in local coding agents, offering perfect fixes with better efficiency than MoE. Quantization boosts Gemma4-26B but not to top tier. Highlights trade-offs for local deployment.

What To Do Next

Benchmark Qwen3.5-27B Q4_K_XL on your local coding eval suite using llama.cpp.

Who should care:Developers & AI Engineers
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Original source: Reddit r/LocalLLaMA β†—