Model comparison

r1-1776-distill-llama-70b 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 42,520,395,840.

From the file· summed bytes, KV per layer

Side by side

r1-1776-distill-llama-70bQwen3-30B-A3B-Thinking-2507
Parameters70.6B30.5B
Architecturellamaqwen3moe
Layers48
Native context262,144
Mixture of expertsnoyes, 128 experts
Quantizations published3651
Smallest quantization15.60 GiB7.05 GiB
Q4_K_M39.60 GiB17.28 GiB
Licencemitapache-2.0

KV cache by context

the term that decides long-context viability
Contextr1-1776-distill-llama-70bQwen3-30B-A3B-Thinking-2507Ratio
4,0960.38 GiB
8,1920.75 GiB
16,3841.50 GiB
32,7683.00 GiB
65,5366.00 GiB
131,07212.00 GiB