Model comparison
Qianfan-OCR vs Qwen3-VL-8B-Instruct-abliterated-v1
At Q4_K_M, Qianfan-OCR is the smaller download — 2,722,275,136 bytes against 5,027,785,792.
From the file· summed bytes, KV per layer
Side by side
| Qianfan-OCR | Qwen3-VL-8B-Instruct-abliterated-v1 | |
|---|---|---|
| Parameters | 4.7B | 8.8B |
| Architecture | qwen3 | qwen3vl |
| Layers | 36 | — |
| Native context | 32,768 | — |
| Mixture of experts | no | no |
| Quantizations published | 21 | 48 |
| Smallest quantization | 1.68 GiB | 1.97 GiB |
| Q4_K_M | 2.54 GiB | 4.68 GiB |
| Licence | apache-2.0 | apache-2.0 |
KV cache by context
the term that decides long-context viability
| Context | Qianfan-OCR | Qwen3-VL-8B-Instruct-abliterated-v1 | Ratio |
|---|---|---|---|
| 4,096 | 0.56 GiB | — | — |
| 8,192 | 1.13 GiB | — | — |
| 16,384 | 2.25 GiB | — | — |
| 32,768 | 4.50 GiB | — | — |
| 65,536 | 9.00 GiB | — | — |
| 131,072 | 18.00 GiB | — | — |