Alibaba
Qwen 2.5 VL 7B
当前
5.4M下载量1.6K点赞Jan 2025发布日期33K tokens上下文Apache 2.0许可证70 优秀质量
Qwen 2.5 VL 7B (7B parameters) requires approximately 6.6 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 8 GB of VRAM.
快速开始
— 复制粘贴即可本地运行Copy-paste commands to run Qwen 2.5 VL 7B on your machine.
Run
lms load Qwen2.5-VL-7B-Instruct && lms server startQuick specs
Parameters7B
Architecturedense
Context33K tokens
Modalitytext+vision
Min RAM2.7 GB
Rec. RAM4.3 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
✓ Vision✓ Chat
About this model
- •Understand things visually: Qwen2.5-VL is not only proficient in recognizing common objects such as flowers, birds, fish, and insects, but it is...
- •Being agentic: Qwen2.5-VL directly plays as a visual agent that can reason and dynamically direct tools, which is capable of computer use and...
- •Understanding long videos and capturing events: Qwen2.5-VL can comprehend videos of over 1 hour, and this time it has a new ability of cpaturing...
- •Capable of visual localization in different formats: Qwen2.5-VL can accurately localize objects in an image by generating bounding boxes or...
- •Generating structured outputs: for data like scans of invoices, forms, tables, etc. Qwen2.5-VL supports structured outputs of their contents,...
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最佳硬件
Qwen 2.5 VL 7B 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 | 2.7 GB | Low | — |
Q3_K_S | 3 | 3.4 GB | Low | — |
NVFP4 | 4 | 3.9 GB | Medium | — |
Q4_K_M | 4 | 4.3 GB | Medium | — |
Q5_K_M | 5 | 5.0 GB | High | — |
Q6_K | 6 | 5.7 GB | High | — |
Q8_0 | 8 | 7.5 GB | Very High | — |
F16 | 16 | 14.3 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
Weights4.3 GB
KV Cache0.9 GB
Runtime0.9 GB
Headroom0.6 GB
常见问题
FAQ — Qwen 2.5 VL 7B
另请参阅