Model comparison

MN-GRAND-23.5B-Gutenberg-UNCENSORED-V2-GLM4.7-Thinking vs Qwen3.6-27B

At Q4_K_M, MN-GRAND-23.5B-Gutenberg-UNCENSORED-V2-GLM4.7-Thinking is the smaller download — 14,354,741,376 bytes against 16,547,397,888. At long context the gap widens: Qwen3.6-27B's KV cache at 32K is 5.1× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

MN-GRAND-23.5B-Gutenberg-UNCENSORED-V2-GLM4.7-ThinkingQwen3.6-27B
Parameters23.4B27.8B
Architecturellamaqwen35
Layers8164
Native context1,024,000262,144
Mixture of expertsnono
Quantizations published3340
Smallest quantization5.00 GiB8.74 GiB
Q4_K_M13.37 GiB15.41 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
ContextMN-GRAND-23.5B-Gutenberg-UNCENSORED-V2-GLM4.7-ThinkingQwen3.6-27BRatio
4,0961.27 GiB0.25 GiB5.06×
8,1922.53 GiB0.50 GiB5.06×
16,3845.06 GiB1.00 GiB5.06×
32,76810.13 GiB2.00 GiB5.06×
65,53620.25 GiB4.00 GiB5.06×
131,07240.50 GiB8.00 GiB5.06×