Model comparison
tinygemma3_cifar vs TinyMistral-248M-v2-Instruct
These two publish different quantization sets; the table below has the exact sizes.
From the file· summed bytes, KV per layer
Side by side
| tinygemma3_cifar | TinyMistral-248M-v2-Instruct | |
|---|---|---|
| Parameters | 39M | 248M |
| Architecture | gemma3 | llama |
| Layers | 8 | 12 |
| Native context | 131,072 | 32,768 |
| Mixture of experts | no | no |
| Quantizations published | 1 | 6 |
| Smallest quantization | 0.04 GiB | 0.10 GiB |
| Q4_K_M | — | 0.14 GiB |
| Licence | wtfpl | apache-2.0 |
KV cache by context
the term that decides long-context viability
| Context | tinygemma3_cifar | TinyMistral-248M-v2-Instruct | Ratio |
|---|---|---|---|
| 4,096 | 0.06 GiB | — | — |
| 8,192 | 0.08 GiB | — | — |
| 16,384 | 0.09 GiB | — | — |
| 32,768 | 0.12 GiB | — | — |
| 65,536 | 0.19 GiB | — | — |
| 131,072 | 0.31 GiB | — | — |