Model comparison

Seed-OSS-36B-Instruct-biprojected-norm-preserving-abliterated vs gemma-4-E4B-it

These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: gemma-4-E4B-it's KV cache at 32K is 15.8× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

Seed-OSS-36B-Instruct-biprojected-norm-preserving-abliteratedgemma-4-E4B-it
Parameters36.2B8.0B
Architectureseed_ossgemma4
Layers6442
Native context524,288131,072
Mixture of expertsnono
Quantizations published4636
Smallest quantization7.50 GiB3.30 GiB
Q4_K_M4.64 GiB
Licenceapache-2.0

KV cache by context

the term that decides long-context viability
ContextSeed-OSS-36B-Instruct-biprojected-norm-preserving-abliteratedgemma-4-E4B-itRatio
4,0961.00 GiB0.12 GiB8.13×
8,1922.00 GiB0.18 GiB11.25×
16,3844.00 GiB0.29 GiB13.93×
32,7688.00 GiB0.51 GiB15.81×
65,53616.00 GiB0.94 GiB16.96×
131,07232.00 GiB1.82 GiB17.60×