Model comparison

ShizhenGPT-32B-VL vs Qwen3.6-27B

At Q4_K_M, Qwen3.6-27B is the smaller download — 16,547,397,888 bytes against 19,851,337,408.

From the file· summed bytes, KV per layer

Side by side

ShizhenGPT-32B-VLQwen3.6-27B
Parameters33.5B27.8B
Architectureqwen2vlqwen35
Layers64
Native context262,144
Mixture of expertsnono
Quantizations published3440
Smallest quantization6.77 GiB8.74 GiB
Q4_K_M18.49 GiB15.41 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
ContextShizhenGPT-32B-VLQwen3.6-27BRatio
4,0960.25 GiB
8,1920.50 GiB
16,3841.00 GiB
32,7682.00 GiB
65,5364.00 GiB
131,0728.00 GiB
ShizhenGPT-32B-VL vs Qwen3.6-27B — size, memory and hardware fit — ossmodeldb