Model comparison
Nanonets-OCR-s vs Qwen3.5-0.8B
At Q4_K_M, Qwen3.5-0.8B is the smaller download — 527,502,816 bytes against 1,929,900,800. At long context the gap widens: Qwen3.5-0.8B's KV cache at 32K is 3.0× smaller, which usually matters more than the difference in weights.
From the file· summed bytes, KV per layer
Side by side
| Nanonets-OCR-s | Qwen3.5-0.8B | |
|---|---|---|
| Parameters | 3.8B | 873M |
| Architecture | qwen2vl | qwen35 |
| Layers | 36 | 24 |
| Native context | 128,000 | 262,144 |
| Mixture of experts | no | no |
| Quantizations published | 56 | 42 |
| Smallest quantization | 0.74 GiB | 0.31 GiB |
| Q4_K_M | 1.80 GiB | 0.49 GiB |
| Licence | — | apache-2.0 |
KV cache by context
the term that decides long-context viability
| Context | Nanonets-OCR-s | Qwen3.5-0.8B | Ratio |
|---|---|---|---|
| 4,096 | 0.14 GiB | 0.05 GiB | 3.00× |
| 8,192 | 0.28 GiB | 0.09 GiB | 3.00× |
| 16,384 | 0.56 GiB | 0.19 GiB | 3.00× |
| 32,768 | 1.13 GiB | 0.38 GiB | 3.00× |
| 65,536 | 2.25 GiB | 0.75 GiB | 3.00× |
| 131,072 | 4.50 GiB | 1.50 GiB | 3.00× |