Model comparison

Qwen3-Coder-30B-A3B-Instruct vs Noromaid-20b-v0.1.1

At Q4_K_M, Noromaid-20b-v0.1.1 is the smaller download — 12,042,208,864 bytes against 18,556,689,568. At long context the gap widens: Qwen3-Coder-30B-A3B-Instruct's KV cache at 32K is 12.9× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

Qwen3-Coder-30B-A3B-InstructNoromaid-20b-v0.1.1
Parameters30.5B20.0B
Architectureqwen3moellama
Layers4862
Native context262,1444,096
Mixture of expertsyes, 128 expertsno
Quantizations published4633
Smallest quantization7.46 GiB4.09 GiB
Q4_K_M17.28 GiB11.22 GiB
Licenceapache-2.0cc-by-nc-4.0

KV cache by context

the term that decides long-context viability
ContextQwen3-Coder-30B-A3B-InstructNoromaid-20b-v0.1.1Ratio
4,0960.38 GiB4.84 GiB12.92×
8,1920.75 GiB9.69 GiB12.92×
16,3841.50 GiB19.38 GiB12.92×
32,7683.00 GiB38.75 GiB12.92×
65,5366.00 GiB77.50 GiB12.92×
131,07212.00 GiB155.00 GiB12.92×