Model comparison
Webcoda-AI-27B vs Qwen3.8-27B
At Q4_K_M, Webcoda-AI-27B is the smaller download — 16,547,399,872 bytes against 16,810,714,336.
From the file· summed bytes, KV per layer
Side by side
| Webcoda-AI-27B | Qwen3.8-27B | |
|---|---|---|
| Parameters | 27.4B | 27.8B |
| Architecture | qwen35 | qwen35 |
| Layers | 64 | 64 |
| Native context | 262,144 | 262,144 |
| Mixture of experts | no | no |
| Quantizations published | 34 | 22 |
| Smallest quantization | 6.66 GiB | 8.39 GiB |
| Q4_K_M | 15.41 GiB | 15.66 GiB |
| Licence | other | apache-2.0 |
KV cache by context
the term that decides long-context viability
| Context | Webcoda-AI-27B | Qwen3.8-27B | Ratio |
|---|---|---|---|
| 4,096 | 0.25 GiB | 0.25 GiB | 1.00× |
| 8,192 | 0.50 GiB | 0.50 GiB | 1.00× |
| 16,384 | 1.00 GiB | 1.00 GiB | 1.00× |
| 32,768 | 2.00 GiB | 2.00 GiB | 1.00× |
| 65,536 | 4.00 GiB | 4.00 GiB | 1.00× |
| 131,072 | 8.00 GiB | 8.00 GiB | 1.00× |