Is Ornith-1.0-35B-uncensored-heretic or Qwen3-30B-A3B-Thinking-2507 smaller?

Qwen3-30B-A3B-Thinking-2507 is smaller at Q4_K_M: 17.28 GiB against 19.78 GiB.

Which uses less memory at long context?

Ornith-1.0-35B-uncensored-heretic — its KV cache at 32K context is 4.8x smaller, because of how its attention layers cache.

Model comparison

Ornith-1.0-35B-uncensored-heretic 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 21,233,604,576. At long context the gap widens: Ornith-1.0-35B-uncensored-heretic's KV cache at 32K is 4.8× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Ornith-1.0-35B-uncensored-heretic	Qwen3-30B-A3B-Thinking-2507
Parameters	35.1B	30.5B
Architecture	qwen35moe	qwen3moe
Layers	40	48
Native context	262,144	262,144
Mixture of experts	yes, 256 experts	yes, 128 experts
Quantizations published	9	51
Smallest quantization	15.76 GiB	7.05 GiB
Q4_K_M	19.78 GiB	17.28 GiB
Licence	mit	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Ornith-1.0-35B-uncensored-heretic	Qwen3-30B-A3B-Thinking-2507	Ratio
4,096	0.08 GiB	0.38 GiB	4.80×
8,192	0.16 GiB	0.75 GiB	4.80×
16,384	0.31 GiB	1.50 GiB	4.80×
32,768	0.63 GiB	3.00 GiB	4.80×
65,536	1.25 GiB	6.00 GiB	4.80×
131,072	2.50 GiB	12.00 GiB	4.80×