Model comparison

Huihui-Qwen3-8B-abliterated-v2 vs gemma-4-E4B-it

At Q4_K_M, gemma-4-E4B-it is the smaller download — 4,977,171,584 bytes against 5,027,780,352. At long context the gap widens: gemma-4-E4B-it's KV cache at 32K is 8.9× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

Huihui-Qwen3-8B-abliterated-v2gemma-4-E4B-it
Parameters8.2B8.0B
Architectureqwen3gemma4
Layers3642
Native context40,960131,072
Mixture of expertsnono
Quantizations published3636
Smallest quantization1.97 GiB3.30 GiB
Q4_K_M4.68 GiB4.64 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
ContextHuihui-Qwen3-8B-abliterated-v2gemma-4-E4B-itRatio
4,0960.56 GiB0.12 GiB4.57×
8,1921.13 GiB0.18 GiB6.33×
16,3842.25 GiB0.29 GiB7.84×
32,7684.50 GiB0.51 GiB8.90×
65,5369.00 GiB0.94 GiB9.54×
131,07218.00 GiB1.82 GiB9.90×
Huihui-Qwen3-8B-abliterated-v2 vs gemma-4-E4B-it — size, memory and hardware fit — ossmodeldb