Model comparison

Qwen3.5-0.8B-Base vs LFM2.5-VL-1.6B

These two publish different quantization sets; the table below has the exact sizes.

From the file· summed bytes, KV per layer

Side by side

Qwen3.5-0.8B-BaseLFM2.5-VL-1.6B
Parameters873M1.6B
Architectureqwen35lfm2
Layers2416
Native context262,144128,000
Mixture of expertsnono
Quantizations published323
Smallest quantization0.52 GiB0.45 GiB
Q4_K_M—0.68 GiB
Licenceapache-2.0other

KV cache by context

the term that decides long-context viability
ContextQwen3.5-0.8B-BaseLFM2.5-VL-1.6BRatio
4,0960.05 GiB0.05 GiB1.00×
8,1920.09 GiB0.09 GiB1.00×
16,3840.19 GiB0.19 GiB1.00×
32,7680.38 GiB0.38 GiB1.00×
65,5360.75 GiB0.75 GiB1.00×
131,0721.50 GiB1.50 GiB1.00×
Qwen3.5-0.8B-Base vs LFM2.5-VL-1.6B — size, memory and hardware fit — ossmodeldb