Model comparison
Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated vs Qwen3-Coder-30B-A3B-Instruct
At Q4_K_M, Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated is the smaller download — 18,556,687,008 bytes against 18,556,689,568.
From the file· summed bytes, KV per layer
Side by side
| Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated | Qwen3-Coder-30B-A3B-Instruct | |
|---|---|---|
| Parameters | 30.5B | 30.5B |
| Architecture | qwen3moe | qwen3moe |
| Layers | 48 | 48 |
| Native context | 262,144 | 262,144 |
| Mixture of experts | yes, 128 experts | yes, 128 experts |
| Quantizations published | 34 | 46 |
| Smallest quantization | 5.98 GiB | 7.46 GiB |
| Q4_K_M | 17.28 GiB | 17.28 GiB |
| Licence | apache-2.0 | apache-2.0 |
KV cache by context
the term that decides long-context viability
| Context | Huihui-Qwen3-30B-A3B-Thinking-2507-abliterated | Qwen3-Coder-30B-A3B-Instruct | Ratio |
|---|---|---|---|
| 4,096 | 0.38 GiB | 0.38 GiB | 1.00× |
| 8,192 | 0.75 GiB | 0.75 GiB | 1.00× |
| 16,384 | 1.50 GiB | 1.50 GiB | 1.00× |
| 32,768 | 3.00 GiB | 3.00 GiB | 1.00× |
| 65,536 | 6.00 GiB | 6.00 GiB | 1.00× |
| 131,072 | 12.00 GiB | 12.00 GiB | 1.00× |