Is DeepSeek-R1-Distill-Qwen-1.5B-Fully-Uncensored or Qwen3-4B smaller?

DeepSeek-R1-Distill-Qwen-1.5B-Fully-Uncensored is smaller at Q4_K_M: 1.04 GiB against 2.33 GiB.

Which uses less memory at long context?

DeepSeek-R1-Distill-Qwen-1.5B-Fully-Uncensored — its KV cache at 32K context is 5.1x smaller, because of how its attention layers cache.

Model comparison

DeepSeek-R1-Distill-Qwen-1.5B-Fully-Uncensored vs Qwen3-4B

At Q4_K_M, DeepSeek-R1-Distill-Qwen-1.5B-Fully-Uncensored is the smaller download — 1,116,739,904 bytes against 2,497,280,256. At long context the gap widens: DeepSeek-R1-Distill-Qwen-1.5B-Fully-Uncensored's KV cache at 32K is 5.1× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	DeepSeek-R1-Distill-Qwen-1.5B-Fully-Uncensored	Qwen3-4B
Parameters	1.8B	4.0B
Architecture	qwen2	qwen3
Layers	28	36
Native context	131,072	40,960
Mixture of experts	no	no
Quantizations published	12	29
Smallest quantization	0.70 GiB	1.01 GiB
Q4_K_M	1.04 GiB	2.33 GiB
Licence	mit	—

KV cache by context

the term that decides long-context viability

Context	DeepSeek-R1-Distill-Qwen-1.5B-Fully-Uncensored	Qwen3-4B	Ratio
4,096	0.11 GiB	0.56 GiB	5.14×
8,192	0.22 GiB	1.13 GiB	5.14×
16,384	0.44 GiB	2.25 GiB	5.14×
32,768	0.88 GiB	4.50 GiB	5.14×
65,536	1.75 GiB	9.00 GiB	5.14×
131,072	3.50 GiB	18.00 GiB	5.14×