Alibaba · 4.4B · Dense
Compact dedicated vision-language model — OCR & image chat on edge お使いの GPU や Mac で Qwen3-VL 4B が動くか確認——最小 2.5 GB、推奨 4.1 GB。
2025-10256K context
| 量子化 | ビット | VRAM | 品質 | 状態 |
|---|---|---|---|---|
| Q2_K | 2 | 1.9 GB | low | — |
| Q3_K_M | 3 | 2.5 GB | moderate | — |
| Q4_K_M | 4 | 2.8 GB | good | — |
| Q5_K_M | 5 | 3.3 GB | good | — |
| Q6_K | 6 | 3.9 GB | excellent | — |
| Q8_0 | 8 | 5 GB | excellent | — |
| F16 | 16 | 9.5 GB | lossless | — |
Can I run Qwen3-VL 4B locally?
- Can I run Qwen3-VL 4B locally?
- Qwen3-VL 4B needs about 2.5 GB of memory at a minimum and 4.1 GB recommended. Open this page to grade it against your GPU or Mac, then run it with runai, Ollama or LM Studio.
- How much VRAM does Qwen3-VL 4B need?
- At Q4_K_M, Qwen3-VL 4B uses about 2.8 GB of VRAM. Higher quants need more memory; lower quants fit tighter cards with a quality tradeoff.