Alibaba
Qwen3-VL 30B A3B Instruct
前沿
1.2M下载量574点赞Sep 2025发布日期256K tokens上下文Apache 2.0许可证98 卓越质量
Qwen3-VL 30B A3B Instruct (30B parameters) requires approximately 22.8 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 3B active parameters, it uses less memory than its total parameter count suggests. For the best balance of quality and speed, we recommend hardware with at least 27 GB of VRAM.
快速开始
— 复制粘贴即可本地运行Copy-paste commands to run Qwen3-VL 30B A3B Instruct on your machine.
Run
lms load Qwen3-VL-30B-A3B-Instruct && lms server startQuick specs
Parameters30B (3B active)
Architecturemoe (MoE)
Context256K tokens
Modalitytext+vision
Min RAM11.7 GB
Rec. RAM18.3 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen VL
✓ Vision✓ Reasoning
About this model
- •Visual Agent: Operates PC/mobile GUIs—recognizes elements, understands functions, invokes tools, completes tasks
- •Visual Coding Boost: Generates Draw.io/HTML/CSS/JS from images/videos
- •Advanced Spatial Perception: Judges object positions, viewpoints, and occlusions; provides stronger 2D grounding and enables 3D grounding for...
- •Long Context & Video Understanding: Native 256K context, expandable to 1M; handles books and hours-long video with full recall and second-level...
- •Enhanced Multimodal Reasoning: Excels in STEM/Math—causal analysis and logical, evidence-based answers
快速推荐
最佳硬件
Qwen3-VL 30B A3B Instruct 的最佳选择
运行此模型
量化选项
各量化级别的 VRAM 估算
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | — |
Q3_K_S | 3 | 14.7 GB | Low | — |
NVFP4 | 4 | 16.8 GB | Medium | — |
Q4_K_M | 4 | 18.3 GB | Medium | — |
Q5_K_M | 5 | 21.6 GB | High | — |
Q6_K | 6 | 24.6 GB | High | — |
Q8_0 | 8 | 32.1 GB | Very High | — |
F16 | 16 | 61.5 GB | Maximum | — |
硬件兼容性
全部硬件的适配估算
Computing compatibility...
内存详细分析
Reference: RTX 2060 6GB
Weights18.3 GB
KV Cache1.5 GB
Runtime2.4 GB
Headroom0.6 GB
常见问题
FAQ — Qwen3-VL 30B A3B Instruct
另请参阅