Qwen 2-VL 7B
Qwen 2 vision-language predecessor to Qwen 2.5-VL. Apache 2.0 with strong document Q&A.
Overview
Qwen 2 vision-language predecessor to Qwen 2.5-VL. Apache 2.0 with strong document Q&A.
Family & lineage
How this model relates to others in its lineage. Family members share architecture and training-data roots; parent / children edges record direct distillation or fine-tune relationships.
Strengths
- Apache 2.0
- Document Q&A baseline
Weaknesses
- Qwen 2.5-VL 7B supersedes for new deployments
Quantization variants
Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.
| Quantization | File size | VRAM required |
|---|---|---|
| Q4_K_M | 4.6 GB | 7 GB |
Get the model
HuggingFace
Original weights
Source repository — direct quantization required.
Hardware that runs this
Cards with enough VRAM for at least one quantization of Qwen 2-VL 7B.
Frequently asked
What's the minimum VRAM to run Qwen 2-VL 7B?
Can I use Qwen 2-VL 7B commercially?
What's the context length of Qwen 2-VL 7B?
Does Qwen 2-VL 7B support images?
Source: huggingface.co/Qwen/Qwen2-VL-7B-Instruct
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.
Related — keep moving
Verify Qwen 2-VL 7B runs on your specific hardware before committing money.