Model comparison
L3-DARKEST-PLANET-16.5B vs gemma-4-12B-it-qat-q4_0-unquantized
These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: gemma-4-12B-it-qat-q4_0-unquantized's KV cache at 32K is 3.6× smaller, which usually matters more than the difference in weights.
From the file· summed bytes, KV per layer
Side by side
| L3-DARKEST-PLANET-16.5B | gemma-4-12B-it-qat-q4_0-unquantized | |
|---|---|---|
| Parameters | 16.5B | 12.0B |
| Architecture | llama | gemma4 |
| Layers | 71 | 48 |
| Native context | 8,192 | 262,144 |
| Mixture of experts | no | no |
| Quantizations published | 10 | 2 |
| Smallest quantization | 7.00 GiB | 6.50 GiB |
| Q4_K_M | 9.51 GiB | — |
| Licence | apache-2.0 | apache-2.0 |
KV cache by context
the term that decides long-context viability
| Context | L3-DARKEST-PLANET-16.5B | gemma-4-12B-it-qat-q4_0-unquantized | Ratio |
|---|---|---|---|
| 4,096 | 1.11 GiB | 0.72 GiB | 1.54× |
| 8,192 | 2.22 GiB | 0.97 GiB | 2.29× |
| 16,384 | 4.44 GiB | 1.47 GiB | 3.02× |
| 32,768 | 8.88 GiB | 2.47 GiB | 3.59× |
| 65,536 | 17.75 GiB | 4.47 GiB | 3.97× |
| 131,072 | 35.50 GiB | 8.47 GiB | 4.19× |