Model comparison

Qwen35B-Agent-R2-Abliterated vs Qwen3-Coder-30B-A3B-Instruct

At Q4_K_M, Qwen3-Coder-30B-A3B-Instruct is the smaller download — 18,556,689,568 bytes against 21,166,759,744. At long context the gap widens: Qwen35B-Agent-R2-Abliterated's KV cache at 32K is 4.8× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

Qwen35B-Agent-R2-AbliteratedQwen3-Coder-30B-A3B-Instruct
Parameters34.7B30.5B
Architectureqwen35moeqwen3moe
Layers4048
Native context262,144262,144
Mixture of expertsyes, 256 expertsyes, 128 experts
Quantizations published3446
Smallest quantization6.97 GiB7.46 GiB
Q4_K_M19.71 GiB17.28 GiB
Licenceagpl-3.0apache-2.0

KV cache by context

the term that decides long-context viability
ContextQwen35B-Agent-R2-AbliteratedQwen3-Coder-30B-A3B-InstructRatio
4,0960.08 GiB0.38 GiB4.80×
8,1920.16 GiB0.75 GiB4.80×
16,3840.31 GiB1.50 GiB4.80×
32,7680.63 GiB3.00 GiB4.80×
65,5361.25 GiB6.00 GiB4.80×
131,0722.50 GiB12.00 GiB4.80×