Model comparison
gemma-3-1b-it vs embeddinggemma-300m
These two publish different quantization sets; the table below has the exact sizes.
From the file· summed bytes, KV per layer
Side by side
| gemma-3-1b-it | embeddinggemma-300m | |
|---|---|---|
| Parameters | 1000M | 303M |
| Architecture | gemma3 | gemma-embedding |
| Layers | 26 | 24 |
| Native context | 32,768 | 2,048 |
| Mixture of experts | no | no |
| Quantizations published | 28 | 10 |
| Smallest quantization | 0.52 GiB | 0.26 GiB |
| Q4_K_M | 0.75 GiB | — |
| Licence | gemma | — |
KV cache by context
the term that decides long-context viability
| Context | gemma-3-1b-it | embeddinggemma-300m | Ratio |
|---|---|---|---|
| 4,096 | 0.04 GiB | 0.04 GiB | 1.06× |
| 8,192 | 0.05 GiB | 0.05 GiB | 1.04× |
| 16,384 | 0.08 GiB | 0.08 GiB | 1.02× |
| 32,768 | 0.15 GiB | 0.14 GiB | 1.01× |
| 65,536 | 0.27 GiB | 0.27 GiB | 1.01× |
| 131,072 | 0.52 GiB | 0.52 GiB | 1.00× |