Model comparison

MARTHA-LXVII.8B_QWEN-3.5-3.6_prune_9b-3.6_base vs Qwen3-8B

At Q4_K_M, Qwen3-8B is the smaller download — 5,027,783,488 bytes against 5,106,435,872. At long context the gap widens: MARTHA-LXVII.8B_QWEN-3.5-3.6_prune_9b-3.6_base's KV cache at 32K is 5.1× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

MARTHA-LXVII.8B_QWEN-3.5-3.6_prune_9b-3.6_baseQwen3-8B
Parameters8.1B8.2B
Architectureqwen35qwen3
Layers2836
Native context262,14440,960
Mixture of expertsnono
Quantizations published3651
Smallest quantization2.35 GiB2.12 GiB
Q4_K_M4.76 GiB4.68 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
ContextMARTHA-LXVII.8B_QWEN-3.5-3.6_prune_9b-3.6_baseQwen3-8BRatio
4,0960.11 GiB0.56 GiB5.14×
8,1920.22 GiB1.13 GiB5.14×
16,3840.44 GiB2.25 GiB5.14×
32,7680.88 GiB4.50 GiB5.14×
65,5361.75 GiB9.00 GiB5.14×
131,0723.50 GiB18.00 GiB5.14×