Model comparison
LFM2.5-230M vs tinygemma3_cifar
These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: tinygemma3_cifar's KV cache at 32K is 3.0× smaller, which usually matters more than the difference in weights.
From the file· summed bytes, KV per layer
Side by side
| LFM2.5-230M | tinygemma3_cifar | |
|---|---|---|
| Parameters | 230M | 39M |
| Architecture | lfm2 | gemma3 |
| Layers | 14 | 8 |
| Native context | 128,000 | 131,072 |
| Mixture of experts | no | no |
| Quantizations published | 25 | 1 |
| Smallest quantization | 0.10 GiB | 0.04 GiB |
| Q4_K_M | 0.14 GiB | — |
| Licence | other | wtfpl |
KV cache by context
the term that decides long-context viability
| Context | LFM2.5-230M | tinygemma3_cifar | Ratio |
|---|---|---|---|
| 4,096 | 0.05 GiB | 0.06 GiB | 1.33× |
| 8,192 | 0.09 GiB | 0.08 GiB | 1.22× |
| 16,384 | 0.19 GiB | 0.09 GiB | 2.02× |
| 32,768 | 0.38 GiB | 0.12 GiB | 3.02× |
| 65,536 | 0.75 GiB | 0.19 GiB | 4.02× |
| 131,072 | 1.50 GiB | 0.31 GiB | 4.82× |