Model comparison

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

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 18,556,689,568.

From the file· summed bytes, KV per layer

Side by side

Qwen3-Coder-30B-A3B-Instructgemma-3-16b-it-BIG-G-GLM4.7-Flash-Valhalla-Heretic-Uncensored-Deep-Thinking
Parameters30.5B16.0B
Architectureqwen3moegemma3
Layers48
Native context262,144
Mixture of expertsyes, 128 expertsno
Quantizations published4635
Smallest quantization7.46 GiB3.57 GiB
Q4_K_M17.28 GiB9.18 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
ContextQwen3-Coder-30B-A3B-Instructgemma-3-16b-it-BIG-G-GLM4.7-Flash-Valhalla-Heretic-Uncensored-Deep-ThinkingRatio
4,0960.38 GiB
8,1920.75 GiB
16,3841.50 GiB
32,7683.00 GiB
65,5366.00 GiB
131,07212.00 GiB