Is Tess-R1-Limerick-Llama-3.1-70B or Qwen3-Coder-30B-A3B-Instruct smaller?

Qwen3-Coder-30B-A3B-Instruct is smaller at Q4_K_M: 17.28 GiB against 39.60 GiB.

Which uses less memory at long context?

Qwen3-Coder-30B-A3B-Instruct — its KV cache at 32K context is 3.3x smaller, because of how its attention layers cache.

Model comparison

Tess-R1-Limerick-Llama-3.1-70B vs Qwen3-Coder-30B-A3B-Instruct

At Q4_K_M, Qwen3-Coder-30B-A3B-Instruct is the smaller download — 18,556,689,568 bytes against 42,520,395,168. At long context the gap widens: Qwen3-Coder-30B-A3B-Instruct's KV cache at 32K is 3.3× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Tess-R1-Limerick-Llama-3.1-70B	Qwen3-Coder-30B-A3B-Instruct
Parameters	70.6B	30.5B
Architecture	llama	qwen3moe
Layers	80	48
Native context	131,072	262,144
Mixture of experts	no	yes, 128 experts
Quantizations published	24	46
Smallest quantization	15.60 GiB	7.46 GiB
Q4_K_M	39.60 GiB	17.28 GiB
Licence	llama3.1	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Tess-R1-Limerick-Llama-3.1-70B	Qwen3-Coder-30B-A3B-Instruct	Ratio
4,096	1.25 GiB	0.38 GiB	3.33×
8,192	2.50 GiB	0.75 GiB	3.33×
16,384	5.00 GiB	1.50 GiB	3.33×
32,768	10.00 GiB	3.00 GiB	3.33×
65,536	20.00 GiB	6.00 GiB	3.33×
131,072	40.00 GiB	12.00 GiB	3.33×