Model comparison
Qwen3-ForcedAligner-0.6B vs whisper-medium
These two publish different quantization sets; the table below has the exact sizes.
From the file· summed bytes, KV per layer
Side by side
| Qwen3-ForcedAligner-0.6B | whisper-medium | |
|---|---|---|
| Parameters | 918M | 764M |
| Architecture | qwen3asr | whisper |
| Layers | — | 24 |
| Native context | — | — |
| Mixture of experts | no | no |
| Quantizations published | 4 | 19 |
| Smallest quantization | 0.49 GiB | 0.25 GiB |
| Q4_K_M | — | 0.47 GiB |
| Licence | apache-2.0 | apache-2.0 |
KV cache by context
the term that decides long-context viability
| Context | Qwen3-ForcedAligner-0.6B | whisper-medium | Ratio |
|---|---|---|---|
| 4,096 | — | — | — |
| 8,192 | — | — | — |
| 16,384 | — | — | — |
| 32,768 | — | — | — |
| 65,536 | — | — | — |
| 131,072 | — | — | — |