Model comparison

Qwythos-9B-Claude-Mythos-5-1M vs gemma-4-26B-A4B-it-qat-q4_0-unquantized

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's KV cache at 32K is 1.5× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

Qwythos-9B-Claude-Mythos-5-1Mgemma-4-26B-A4B-it-qat-q4_0-unquantized
Parameters9.4B26.5B
Architectureqwen35gemma4
Layers3230
Native context1,048,576262,144
Mixture of expertsnoyes, 128 experts
Quantizations published161
Smallest quantization5.38 GiB13.45 GiB
Q4_K_M10.73 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
ContextQwythos-9B-Claude-Mythos-5-1Mgemma-4-26B-A4B-it-qat-q4_0-unquantizedRatio
4,0960.13 GiB0.45 GiB3.59×
8,1920.25 GiB0.61 GiB2.42×
16,3840.50 GiB0.92 GiB1.84×
32,7681.00 GiB1.54 GiB1.54×
65,5362.00 GiB2.79 GiB1.40×
131,0724.00 GiB5.29 GiB1.32×