Model comparison
Ternary-Bonsai-27B-gguf vs Qwythos-9B-v2
These two publish different quantization sets; the table below has the exact sizes.
From the file· summed bytes, KV per layer
Side by side
| Ternary-Bonsai-27B-gguf | Qwythos-9B-v2 | |
|---|---|---|
| Parameters | 3.6B | 9.7B |
| Architecture | qwen35 | qwen35 |
| Layers | — | 32 |
| Native context | — | 1,048,576 |
| Mixture of experts | no | no |
| Quantizations published | 4 | 43 |
| Smallest quantization | 1.81 GiB | 3.64 GiB |
| Q4_K_M | — | 5.63 GiB |
| Licence | apache-2.0 | apache-2.0 |
KV cache by context
the term that decides long-context viability
| Context | Ternary-Bonsai-27B-gguf | Qwythos-9B-v2 | Ratio |
|---|---|---|---|
| 4,096 | — | 0.13 GiB | — |
| 8,192 | — | 0.25 GiB | — |
| 16,384 | — | 0.50 GiB | — |
| 32,768 | — | 1.00 GiB | — |
| 65,536 | — | 2.00 GiB | — |
| 131,072 | — | 4.00 GiB | — |