Alibaba
Qwen3-VL 30B A3B Instruct
最先端
1.2Mダウンロード574いいねSep 2025公開日256K トークンコンテキストApache 2.0ライセンス98 卓越品質
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.
はじめに
— コピー&ペーストでローカル実行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
おすすめ
最適なハードウェア
Qwen3-VL 30B A3B Instructのおすすめ
このモデルを実行
量子化オプション
量子化レベル別VRAM推定値
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 | — |
ハードウェア互換性
全ハードウェアの適合度推定
Computing compatibility...
メモリ内訳
Reference: RTX 2060 6GB
Weights18.3 GB
KV Cache1.5 GB
Runtime2.4 GB
Headroom0.6 GB
よくある質問
FAQ — Qwen3-VL 30B A3B Instruct
関連項目