Model comparison

personaplex-7b-v1 vs Qwen3-30B-A3B-Thinking-2507

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

From the file· summed bytes, KV per layer

Side by side

personaplex-7b-v1Qwen3-30B-A3B-Thinking-2507
Parameters8.4B30.5B
Architectureqwen3moe
Layers48
Native context262,144
Mixture of expertsnoyes, 128 experts
Quantizations published251
Smallest quantization4.39 GiB7.05 GiB
Q4_K_M17.28 GiB
Licenceapache-2.0

KV cache by context

the term that decides long-context viability
Contextpersonaplex-7b-v1Qwen3-30B-A3B-Thinking-2507Ratio
4,0960.38 GiB
8,1920.75 GiB
16,3841.50 GiB
32,7683.00 GiB
65,5366.00 GiB
131,07212.00 GiB
personaplex-7b-v1 vs Qwen3-30B-A3B-Thinking-2507 — size, memory and hardware fit — ossmodeldb