Model comparison

gemma-3-16b-it-BIG-G-GLM4.7-Flash-Valhalla-Heretic-Uncensored-Deep-Thinking vs Qwen3-30B-A3B-Thinking-2507

At Q4_K_M, gemma-3-16b-it-BIG-G-GLM4.7-Flash-Valhalla-Heretic-Uncensored-Deep-Thinking is the smaller download — 9,852,528,768 bytes against 18,556,685,824.

From the file· summed bytes, KV per layer

Side by side

gemma-3-16b-it-BIG-G-GLM4.7-Flash-Valhalla-Heretic-Uncensored-Deep-ThinkingQwen3-30B-A3B-Thinking-2507
Parameters16.0B30.5B
Architecturegemma3qwen3moe
Layers48
Native context262,144
Mixture of expertsnoyes, 128 experts
Quantizations published3551
Smallest quantization3.57 GiB7.05 GiB
Q4_K_M9.18 GiB17.28 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
Contextgemma-3-16b-it-BIG-G-GLM4.7-Flash-Valhalla-Heretic-Uncensored-Deep-ThinkingQwen3-30B-A3B-Thinking-2507Ratio
4,0960.38 GiB
8,1920.75 GiB
16,3841.50 GiB
32,7683.00 GiB
65,5366.00 GiB
131,07212.00 GiB