Model comparison
parakeet-rnnt-0.6b vs whisper-large-v3
At Q4_K_M, parakeet-rnnt-0.6b is the smaller download — 476,390,816 bytes against 997,303,008.
From the file· summed bytes, KV per layer
Side by side
| parakeet-rnnt-0.6b | whisper-large-v3 | |
|---|---|---|
| Parameters | 617M | 1.5B |
| Architecture | parakeet | whisper |
| Layers | — | 32 |
| Native context | — | — |
| Mixture of experts | no | no |
| Quantizations published | 8 | 18 |
| Smallest quantization | 0.37 GiB | 0.49 GiB |
| Q4_K_M | 0.44 GiB | 0.93 GiB |
| Licence | cc-by-4.0 | apache-2.0 |
KV cache by context
the term that decides long-context viability
| Context | parakeet-rnnt-0.6b | whisper-large-v3 | Ratio |
|---|---|---|---|
| 4,096 | — | — | — |
| 8,192 | — | — | — |
| 16,384 | — | — | — |
| 32,768 | — | — | — |
| 65,536 | — | — | — |
| 131,072 | — | — | — |