Model comparison

gemma-4-12B-it-qat-q4_0-unquantized vs Qwythos-9B-Claude-Mythos-5-1M-MTP

These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: Qwythos-9B-Claude-Mythos-5-1M-MTP's KV cache at 32K is 2.5× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

gemma-4-12B-it-qat-q4_0-unquantizedQwythos-9B-Claude-Mythos-5-1M-MTP
Parameters12.0B9.7B
Architecturegemma4qwen35
Layers4832
Native context262,1441,048,576
Mixture of expertsnono
Quantizations published227
Smallest quantization6.50 GiB3.65 GiB
Q4_K_M5.38 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
Contextgemma-4-12B-it-qat-q4_0-unquantizedQwythos-9B-Claude-Mythos-5-1M-MTPRatio
4,0960.72 GiB0.13 GiB5.75×
8,1920.97 GiB0.25 GiB3.87×
16,3841.47 GiB0.50 GiB2.94×
32,7682.47 GiB1.00 GiB2.47×
65,5364.47 GiB2.00 GiB2.23×
131,0728.47 GiB4.00 GiB2.12×