Model comparison
gliner2-base-v1 vs ced-base
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 | ced-base | |
|---|---|---|
| Parameters | 208M | 86M |
| Architecture | deberta | ced |
| Layers | — | — |
| Native context | — | — |
| Mixture of experts | no | no |
| Quantizations published | 1 | 3 |
| Smallest quantization | 0.13 GiB | 0.12 GiB |
| Q4_K_M | — | — |
| Licence | — | apache-2.0 |
KV cache by context
the term that decides long-context viability
| Context | gliner2-base-v1 | ced-base | Ratio |
|---|---|---|---|
| 4,096 | — | — | — |
| 8,192 | — | — | — |
| 16,384 | — | — | — |
| 32,768 | — | — | — |
| 65,536 | — | — | — |
| 131,072 | — | — | — |