Model comparison
Maestro1-9B vs Qwen3-8B
These two publish different quantization sets; the table below has the exact sizes.
From the file· summed bytes, KV per layer
Side by side
| Maestro1-9B | Qwen3-8B | |
|---|---|---|
| Parameters | 8.8B | 8.2B |
| Architecture | qwen3vl | qwen3 |
| Layers | 36 | 36 |
| Native context | 262,144 | 40,960 |
| Mixture of experts | no | no |
| Quantizations published | 38 | 51 |
| Smallest quantization | 1.97 GiB | 2.12 GiB |
| Q4_K_M | — | 4.68 GiB |
| Licence | apache-2.0 | apache-2.0 |
KV cache by context
the term that decides long-context viability
| Context | Maestro1-9B | Qwen3-8B | Ratio |
|---|---|---|---|
| 4,096 | 0.56 GiB | 0.56 GiB | 1.00× |
| 8,192 | 1.13 GiB | 1.13 GiB | 1.00× |
| 16,384 | 2.25 GiB | 2.25 GiB | 1.00× |
| 32,768 | 4.50 GiB | 4.50 GiB | 1.00× |
| 65,536 | 9.00 GiB | 9.00 GiB | 1.00× |
| 131,072 | 18.00 GiB | 18.00 GiB | 1.00× |