Model comparison
Qwen3.8-27B vs Nyakura-CausalLM-RP-34B
These two publish different quantization sets; the table below has the exact sizes.
From the file· summed bytes, KV per layer
Side by side
| Qwen3.8-27B | Nyakura-CausalLM-RP-34B | |
|---|---|---|
| Parameters | 27.8B | 34.4B |
| Architecture | qwen35 | llama |
| Layers | 64 | — |
| Native context | 262,144 | — |
| Mixture of experts | no | no |
| Quantizations published | 22 | 21 |
| Smallest quantization | 8.39 GiB | 6.98 GiB |
| Q4_K_M | 15.66 GiB | — |
| Licence | apache-2.0 | apache-2.0 |
KV cache by context
the term that decides long-context viability
| Context | Qwen3.8-27B | Nyakura-CausalLM-RP-34B | Ratio |
|---|---|---|---|
| 4,096 | 0.25 GiB | — | — |
| 8,192 | 0.50 GiB | — | — |
| 16,384 | 1.00 GiB | — | — |
| 32,768 | 2.00 GiB | — | — |
| 65,536 | 4.00 GiB | — | — |
| 131,072 | 8.00 GiB | — | — |