Model comparison

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

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

Qwen3.6-27BShizhenGPT-32B-VL
Parameters27.8B33.5B
Architectureqwen35qwen2vl
Layers64
Native context262,144
Mixture of expertsnono
Quantizations published4034
Smallest quantization8.74 GiB6.77 GiB
Q4_K_M15.41 GiB18.49 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
ContextQwen3.6-27BShizhenGPT-32B-VLRatio
4,0960.25 GiB
8,1920.50 GiB
16,3841.00 GiB
32,7682.00 GiB
65,5364.00 GiB
131,0728.00 GiB
Qwen3.6-27B vs ShizhenGPT-32B-VL — size, memory and hardware fit — ossmodeldb