Is Qwen3.8-27B or Qwen3-4B-Apollo-V0.1-4B-Thinking-Heretic-Abliterated smaller?

Both publish quantizations; compare the table for the exact sizes.

Which uses less memory at long context?

Qwen3.8-27B — its KV cache at 32K context is 2.2x smaller, because of how its attention layers cache.

Model comparison

Qwen3.8-27B vs Qwen3-4B-Apollo-V0.1-4B-Thinking-Heretic-Abliterated

These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: Qwen3.8-27B's KV cache at 32K is 2.2× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Qwen3.8-27B	Qwen3-4B-Apollo-V0.1-4B-Thinking-Heretic-Abliterated
Parameters	27.8B	4.0B
Architecture	qwen35	qwen3moe
Layers	64	36
Native context	262,144	262,144
Mixture of experts	no	no
Quantizations published	22	3
Smallest quantization	8.39 GiB	17.30 GiB
Q4_K_M	15.66 GiB	—
Licence	apache-2.0	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Qwen3.8-27B	Qwen3-4B-Apollo-V0.1-4B-Thinking-Heretic-Abliterated	Ratio
4,096	0.25 GiB	0.56 GiB	2.25×
8,192	0.50 GiB	1.13 GiB	2.25×
16,384	1.00 GiB	2.25 GiB	2.25×
32,768	2.00 GiB	4.50 GiB	2.25×
65,536	4.00 GiB	9.00 GiB	2.25×
131,072	8.00 GiB	18.00 GiB	2.25×