Model comparison
oxy-1-small vs gpt-oss-20b
At Q4_K_M, oxy-1-small is the smaller download — 8,988,109,184 bytes against 11,624,759,488. At long context the gap widens: gpt-oss-20b's KV cache at 32K is 7.8× smaller, which usually matters more than the difference in weights.
From the file· summed bytes, KV per layer
Side by side
| oxy-1-small | gpt-oss-20b | |
|---|---|---|
| Parameters | 14.8B | 21.5B |
| Architecture | qwen2 | gpt-oss |
| Layers | 48 | 24 |
| Native context | 32,768 | 131,072 |
| Mixture of experts | no | yes, 32 experts |
| Quantizations published | 22 | 15 |
| Smallest quantization | 4.66 GiB | 10.68 GiB |
| Q4_K_M | 8.37 GiB | 10.83 GiB |
| Licence | apache-2.0 | apache-2.0 |
KV cache by context
the term that decides long-context viability
| Context | oxy-1-small | gpt-oss-20b | Ratio |
|---|---|---|---|
| 4,096 | 0.75 GiB | 0.11 GiB | 6.74× |
| 8,192 | 1.50 GiB | 0.21 GiB | 7.31× |
| 16,384 | 3.00 GiB | 0.39 GiB | 7.64× |
| 32,768 | 6.00 GiB | 0.77 GiB | 7.82× |
| 65,536 | 12.00 GiB | 1.52 GiB | 7.91× |
| 131,072 | 24.00 GiB | 3.02 GiB | 7.95× |