Is Huihui-Qwen3-Coder-Next-abliterated or Qwen3.8-27B smaller?

Qwen3.8-27B is smaller at Q4_K_M: 15.66 GiB against 45.22 GiB.

Which uses less memory at long context?

Huihui-Qwen3-Coder-Next-abliterated — its KV cache at 32K context is 2.7x smaller, because of how its attention layers cache.

Model comparison

Huihui-Qwen3-Coder-Next-abliterated vs Qwen3.8-27B

At Q4_K_M, Qwen3.8-27B is the smaller download — 16,810,714,336 bytes against 48,556,632,000. At long context the gap widens: Huihui-Qwen3-Coder-Next-abliterated's KV cache at 32K is 2.7× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Huihui-Qwen3-Coder-Next-abliterated	Qwen3.8-27B
Parameters	79.7B	27.8B
Architecture	qwen3next	qwen35
Layers	48	64
Native context	262,144	262,144
Mixture of experts	yes, 512 experts	no
Quantizations published	73	22
Smallest quantization	15.07 GiB	8.39 GiB
Q4_K_M	45.22 GiB	15.66 GiB
Licence	apache-2.0	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Huihui-Qwen3-Coder-Next-abliterated	Qwen3.8-27B	Ratio
4,096	0.09 GiB	0.25 GiB	2.67×
8,192	0.19 GiB	0.50 GiB	2.67×
16,384	0.38 GiB	1.00 GiB	2.67×
32,768	0.75 GiB	2.00 GiB	2.67×
65,536	1.50 GiB	4.00 GiB	2.67×
131,072	3.00 GiB	8.00 GiB	2.67×