Model comparison

Qwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODER 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 25,703,283,040. At long context the gap widens: Qwen3-Coder-30B-A3B-Instruct's KV cache at 32K is 1.4× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

Qwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODERQwen3-Coder-30B-A3B-Instruct
Parameters42.4B30.5B
Architectureqwen3moeqwen3moe
Layers6748
Native context262,144262,144
Mixture of expertsyes, 128 expertsyes, 128 experts
Quantizations published3446
Smallest quantization8.21 GiB7.46 GiB
Q4_K_M23.94 GiB17.28 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
ContextQwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODERQwen3-Coder-30B-A3B-InstructRatio
4,0960.52 GiB0.38 GiB1.40×
8,1921.05 GiB0.75 GiB1.40×
16,3842.09 GiB1.50 GiB1.40×
32,7684.19 GiB3.00 GiB1.40×
65,5368.38 GiB6.00 GiB1.40×
131,07216.75 GiB12.00 GiB1.40×