Is v6-Finch-7B-HF or Qwen3-8B smaller?

v6-Finch-7B-HF is smaller at Q4_K_M: 4.45 GiB against 4.68 GiB.

Which uses less memory at long context?

Qwen3-8B — its KV cache at 32K context is 3.6x smaller, because of how its attention layers cache.

Model comparison

v6-Finch-7B-HF vs Qwen3-8B

At Q4_K_M, v6-Finch-7B-HF is the smaller download — 4,776,703,776 bytes against 5,027,783,488. At long context the gap widens: Qwen3-8B's KV cache at 32K is 3.6× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	v6-Finch-7B-HF	Qwen3-8B
Parameters	7.6B	8.2B
Architecture	rwkv6	qwen3
Layers	32	36
Native context	—	40,960
Mixture of experts	no	no
Quantizations published	20	51
Smallest quantization	2.81 GiB	2.12 GiB
Q4_K_M	4.45 GiB	4.68 GiB
Licence	apache-2.0	apache-2.0

KV cache by context

the term that decides long-context viability

Context	v6-Finch-7B-HF	Qwen3-8B	Ratio
4,096	2.00 GiB	0.56 GiB	3.56×
8,192	4.00 GiB	1.13 GiB	3.56×
16,384	8.00 GiB	2.25 GiB	3.56×
32,768	16.00 GiB	4.50 GiB	3.56×
65,536	32.00 GiB	9.00 GiB	3.56×
131,072	64.00 GiB	18.00 GiB	3.56×