Model comparison
gliner2-base-v1 vs Qwen3-0.6B
These two publish different quantization sets; the table below has the exact sizes.
From the file· summed bytes, KV per layer
Side by side
| gliner2-base-v1 | Qwen3-0.6B | |
|---|---|---|
| Parameters | 208M | 752M |
| Architecture | deberta | qwen3 |
| Layers | — | 28 |
| Native context | — | 40,960 |
| Mixture of experts | no | no |
| Quantizations published | 1 | 44 |
| Smallest quantization | 0.13 GiB | 0.20 GiB |
| Q4_K_M | — | 0.37 GiB |
| Licence | — | — |
KV cache by context
the term that decides long-context viability
| Context | gliner2-base-v1 | Qwen3-0.6B | Ratio |
|---|---|---|---|
| 4,096 | — | 0.44 GiB | — |
| 8,192 | — | 0.88 GiB | — |
| 16,384 | — | 1.75 GiB | — |
| 32,768 | — | 3.50 GiB | — |
| 65,536 | — | 7.00 GiB | — |
| 131,072 | — | 14.00 GiB | — |