Model comparison

Llama-3.1-Minitron-4B-Width-Base vs Qwen3-8B

At Q4_K_M, Llama-3.1-Minitron-4B-Width-Base is the smaller download — 2,778,282,976 bytes against 5,027,783,488.

From the file· summed bytes, KV per layer

Side by side

Llama-3.1-Minitron-4B-Width-BaseQwen3-8B
Parameters4.5B8.2B
Architecturellamaqwen3
Layers3236
Native context131,07240,960
Mixture of expertsnono
Quantizations published3551
Smallest quantization1.71 GiB2.12 GiB
Q4_K_M2.59 GiB4.68 GiB
Licenceotherapache-2.0

KV cache by context

the term that decides long-context viability
ContextLlama-3.1-Minitron-4B-Width-BaseQwen3-8BRatio
4,0960.50 GiB0.56 GiB1.13×
8,1921.00 GiB1.13 GiB1.13×
16,3842.00 GiB2.25 GiB1.13×
32,7684.00 GiB4.50 GiB1.13×
65,5368.00 GiB9.00 GiB1.13×
131,07216.00 GiB18.00 GiB1.13×