Model comparison
Ternary-Bonsai-1.7B-unpacked vs Qwen3-1.7B
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-1.7B-unpacked | Qwen3-1.7B | |
|---|---|---|
| Parameters | 1.7B | 2.0B |
| Architecture | qwen3 | qwen3 |
| Layers | 28 | 28 |
| Native context | 32,768 | 40,960 |
| Mixture of experts | no | no |
| Quantizations published | 2 | 48 |
| Smallest quantization | 0.43 GiB | 0.50 GiB |
| Q4_K_M | — | 1.03 GiB |
| Licence | apache-2.0 | — |
KV cache by context
the term that decides long-context viability
| Context | Ternary-Bonsai-1.7B-unpacked | Qwen3-1.7B | Ratio |
|---|---|---|---|
| 4,096 | 0.44 GiB | 0.44 GiB | 1.00× |
| 8,192 | 0.88 GiB | 0.88 GiB | 1.00× |
| 16,384 | 1.75 GiB | 1.75 GiB | 1.00× |
| 32,768 | 3.50 GiB | 3.50 GiB | 1.00× |
| 65,536 | 7.00 GiB | 7.00 GiB | 1.00× |
| 131,072 | 14.00 GiB | 14.00 GiB | 1.00× |