Model comparison

Llama-3.1-Minitron-4B-Width-Base vs Qwen3-VL-8B-Instruct-abliterated-v1

At Q4_K_M, Llama-3.1-Minitron-4B-Width-Base is the smaller download — 2,778,282,976 bytes against 5,027,785,792.

From the file· summed bytes, KV per layer

Side by side

Llama-3.1-Minitron-4B-Width-BaseQwen3-VL-8B-Instruct-abliterated-v1
Parameters4.5B8.8B
Architecturellamaqwen3vl
Layers32
Native context131,072
Mixture of expertsnono
Quantizations published3548
Smallest quantization1.71 GiB1.97 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-VL-8B-Instruct-abliterated-v1Ratio
4,0960.50 GiB
8,1921.00 GiB
16,3842.00 GiB
32,7684.00 GiB
65,5368.00 GiB
131,07216.00 GiB