Model comparison

Qwen3.8-27B vs Olmo-3-32B-Think

At Q4_K_M, Qwen3.8-27B is the smaller download — 16,810,714,336 bytes against 19,482,033,568. At long context the gap widens: Qwen3.8-27B's KV cache at 32K is 1.4× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

Qwen3.8-27BOlmo-3-32B-Think
Parameters27.8B32.2B
Architectureqwen35olmo2
Layers6464
Native context262,14465,536
Mixture of expertsnono
Quantizations published2248
Smallest quantization8.39 GiB6.75 GiB
Q4_K_M15.66 GiB18.14 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
ContextQwen3.8-27BOlmo-3-32B-ThinkRatio
4,0960.25 GiB1.00 GiB4.00×
8,1920.50 GiB1.34 GiB2.69×
16,3841.00 GiB1.84 GiB1.84×
32,7682.00 GiB2.84 GiB1.42×
65,5364.00 GiB4.84 GiB1.21×
131,0728.00 GiB8.84 GiB1.11×