Qwen2.5-VL 7B
Alibaba · Vision-language · 7B · 33k context · Released 28 January 2025
Commercial use permitted
Open weights
Runs on CPU
Apple Silicon
A 7-billion-parameter vision-language model that reads images and documents well above its weight, with particularly strong optical character recognition and chart and table understanding. Apache 2.0, and runnable on a 12GB card.
Strengths
- Strong OCR and document, chart, and table understanding for its size
- Handles video as well as still images
- Apache 2.0, and fits a 12GB card at a good quantisation
Weaknesses
- A 7B model trails larger VLMs on hard visual reasoning
- Vision support in local runtimes is less mature than for text-only models
- Shorter context than the text-only Qwen models
Hardware requirements
| Quantisation | Approx. VRAM | Notes |
|---|---|---|
| Q4_K_M | ~6GB | Fits an 8GB card with short context, including the vision encoder |
| Q8_0 | ~9GB | A good fit for a 12GB card |
| FP16 | ~17GB | Full precision, needs 24GB |
Also runs on CPU (slower). Optimised builds available for Apple Silicon.
Licence
Apache 2.0 — read the licence
Availability
- Official page
- Hugging Face
- ollama run qwen2.5vl:7b
Recommended for
- Local OCR, document, and screenshot understanding
- Extracting data from charts and tables
- A capable vision model on a 12GB card
Glossary
Catalogue entry last verified 30 July 2026. Specifications change; verify anything you are about to spend money on.