Model comparison
GLM-ASR-Nano-2512 vs parakeet-unified-en-0.6b
These two publish different quantization sets; the table below has the exact sizes.
From the file· summed bytes, KV per layer
Side by side
| GLM-ASR-Nano-2512 | parakeet-unified-en-0.6b | |
|---|---|---|
| Parameters | 2.3B | 618M |
| Architecture | glmasr | parakeet |
| Layers | 28 | — |
| Native context | 8,192 | — |
| Mixture of experts | no | no |
| Quantizations published | 5 | 6 |
| Smallest quantization | 0.91 GiB | 0.44 GiB |
| Q4_K_M | — | 0.44 GiB |
| Licence | mit | cc-by-4.0 |
KV cache by context
the term that decides long-context viability
| Context | GLM-ASR-Nano-2512 | parakeet-unified-en-0.6b | Ratio |
|---|---|---|---|
| 4,096 | 0.22 GiB | — | — |
| 8,192 | 0.44 GiB | — | — |
| 16,384 | 0.88 GiB | — | — |
| 32,768 | 1.75 GiB | — | — |
| 65,536 | 3.50 GiB | — | — |
| 131,072 | 7.00 GiB | — | — |