Qwen 3.6 27B model sees custom quantization yield improved benchmarks

A user on r/LocalLLaMA has shared benchmarks comparing two quantized versions of the Qwen 3.6 27B model: Qwen3.6-27B-UD-Q8_K_XL and Qwen3.6-27B-Q8-CC. The user developed a custom quantization method, focusing on layers with high outlier values post-quantization, aiming to improve performance. Initial results suggest the custom-quantized version (Qwen3.6-27B-Q8-CC) may offer slightly better performance in terms of KLD and Delta P metrics, despite being smaller in file size. AI

IMPACT Custom quantization techniques may offer performance gains for locally run LLMs.

RANK_REASON User-generated benchmark and comparison of quantized models, not an official release. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

• Qwen 3.6 27B
• Qwen3.6-27B-Q8-CC
• Qwen3.6-27B-UD-Q8_K_XL
• r/LocalLLaMA
• Unsloth

• model release
• other

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