Model comparison

Qwen3-Coder-30B-A3B-Instruct vs Valkyrie-49B-v2.1

At Q4_K_M, Qwen3-Coder-30B-A3B-Instruct is the smaller download — 18,556,689,568 bytes against 30,215,578,688. At long context the gap widens: Qwen3-Coder-30B-A3B-Instruct's KV cache at 32K is 26.7× 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-InstructValkyrie-49B-v2.1
Parameters30.5B49.9B
Architectureqwen3moedeci
Layers4880
Native context262,144131,072
Mixture of expertsyes, 128 expertsno
Quantizations published4650
Smallest quantization7.46 GiB10.27 GiB
Q4_K_M17.28 GiB28.14 GiB
Licenceapache-2.0

KV cache by context

the term that decides long-context viability
ContextQwen3-Coder-30B-A3B-InstructValkyrie-49B-v2.1Ratio
4,0960.38 GiB10.00 GiB26.67×
8,1920.75 GiB20.00 GiB26.67×
16,3841.50 GiB40.00 GiB26.67×
32,7683.00 GiB80.00 GiB26.67×
65,5366.00 GiB160.00 GiB26.67×
131,07212.00 GiB320.00 GiB26.67×
Qwen3-Coder-30B-A3B-Instruct vs Valkyrie-49B-v2.1 — size, memory and hardware fit — ossmodeldb