Model comparison
Qwen3-Coder-30B-A3B-Instruct vs Le-Chaton-Slim-23B
At Q4_K_M, Le-Chaton-Slim-23B is the smaller download — 14,183,211,648 bytes against 18,556,689,568.
From the file· summed bytes, KV per layer
Side by side
| Qwen3-Coder-30B-A3B-Instruct | Le-Chaton-Slim-23B | |
|---|---|---|
| Parameters | 30.5B | 23.3B |
| Architecture | qwen3moe | llama |
| Layers | 48 | 26 |
| Native context | 262,144 | 262,144 |
| Mixture of experts | yes, 128 experts | yes, 10 experts |
| Quantizations published | 46 | 34 |
| Smallest quantization | 7.46 GiB | 4.59 GiB |
| Q4_K_M | 17.28 GiB | 13.21 GiB |
| Licence | apache-2.0 | apache-2.0 |
KV cache by context
the term that decides long-context viability
| Context | Qwen3-Coder-30B-A3B-Instruct | Le-Chaton-Slim-23B | Ratio |
|---|---|---|---|
| 4,096 | 0.38 GiB | 0.41 GiB | 1.08× |
| 8,192 | 0.75 GiB | 0.81 GiB | 1.08× |
| 16,384 | 1.50 GiB | 1.63 GiB | 1.08× |
| 32,768 | 3.00 GiB | 3.25 GiB | 1.08× |
| 65,536 | 6.00 GiB | 6.50 GiB | 1.08× |
| 131,072 | 12.00 GiB | 13.00 GiB | 1.08× |