Model comparison

Lilith-31B-v1.0 vs Qwen3-30B-A3B-Thinking-2507

At Q4_K_M, Qwen3-30B-A3B-Thinking-2507 is the smaller download — 18,556,685,824 bytes against 18,687,061,792. At long context the gap widens: Qwen3-30B-A3B-Thinking-2507's KV cache at 32K is 2.1× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

Lilith-31B-v1.0Qwen3-30B-A3B-Thinking-2507
Parameters31.3B30.5B
Architecturegemma4qwen3moe
Layers6048
Native context262,144262,144
Mixture of expertsnoyes, 128 experts
Quantizations published4151
Smallest quantization6.67 GiB7.05 GiB
Q4_K_M17.40 GiB17.28 GiB
Licencegemmaapache-2.0

KV cache by context

the term that decides long-context viability
ContextLilith-31B-v1.0Qwen3-30B-A3B-Thinking-2507Ratio
4,0961.80 GiB0.38 GiB4.79×
8,1922.42 GiB0.75 GiB3.23×
16,3843.67 GiB1.50 GiB2.45×
32,7686.17 GiB3.00 GiB2.06×
65,53611.17 GiB6.00 GiB1.86×
131,07221.17 GiB12.00 GiB1.76×