Model comparison
gliner2-base-v1 vs gemma-3-270m-it
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 | gemma-3-270m-it | |
|---|---|---|
| Parameters | 208M | 268M |
| Architecture | deberta | gemma3 |
| Layers | — | 18 |
| Native context | — | 32,768 |
| Mixture of experts | no | no |
| Quantizations published | 1 | 39 |
| Smallest quantization | 0.13 GiB | 0.17 GiB |
| Q4_K_M | — | 0.24 GiB |
| Licence | — | gemma |
KV cache by context
the term that decides long-context viability
| Context | gliner2-base-v1 | gemma-3-270m-it | Ratio |
|---|---|---|---|
| 4,096 | — | 0.03 GiB | — |
| 8,192 | — | 0.04 GiB | — |
| 16,384 | — | 0.06 GiB | — |
| 32,768 | — | 0.11 GiB | — |
| 65,536 | — | 0.20 GiB | — |
| 131,072 | — | 0.39 GiB | — |