Model comparison
G2-Darkest-Writer-9B-v1 vs llama-3-youko-8b
These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: llama-3-youko-8b's KV cache at 32K is 1.5× smaller, which usually matters more than the difference in weights.
From the file· summed bytes, KV per layer
Side by side
| G2-Darkest-Writer-9B-v1 | llama-3-youko-8b | |
|---|---|---|
| Parameters | 9.2B | 8.0B |
| Architecture | gemma2 | llama |
| Layers | 42 | 32 |
| Native context | 8,192 | 8,192 |
| Mixture of experts | no | no |
| Quantizations published | 36 | 2 |
| Smallest quantization | 2.22 GiB | 5.34 GiB |
| Q4_K_M | 5.37 GiB | — |
| Licence | — | llama3 |
KV cache by context
the term that decides long-context viability
| Context | G2-Darkest-Writer-9B-v1 | llama-3-youko-8b | Ratio |
|---|---|---|---|
| 4,096 | 1.31 GiB | 0.50 GiB | 2.63× |
| 8,192 | 2.05 GiB | 1.00 GiB | 2.05× |
| 16,384 | 3.36 GiB | 2.00 GiB | 1.68× |
| 32,768 | 5.99 GiB | 4.00 GiB | 1.50× |
| 65,536 | 11.24 GiB | 8.00 GiB | 1.40× |
| 131,072 | 21.74 GiB | 16.00 GiB | 1.36× |