Qwen2.5-VL 7B is Alibaba’s multimodal flagship at this size – strong OCR, chart reading, video understanding. On the RTX 5060 Ti 16GB via our hosting:
Contents
Setup
- Model: Qwen/Qwen2.5-VL-7B-Instruct
- vLLM 0.6.4, transformers 4.46
- Image: variable, internally resized
VRAM
- FP16: 15 GB (borderline)
- FP8: 7.8 GB
- AWQ INT4: 5.0 GB
Image Q&A Latency
| Precision | Encode | Prefill | Decode t/s |
|---|---|---|---|
| FP16 | 220 ms | 150 ms | 55 |
| FP8 | 200 ms | 140 ms | 90 |
| AWQ INT4 | 210 ms | 160 ms | 110 |
OCR Throughput
Using Qwen2.5-VL as an OCR+reasoning system (extract + interpret):
- Simple invoice: ~600 ms total, correct fields
- Dense academic paper: ~1.4 s, near-PDF-perfect text
- Handwritten receipt: ~800 ms, occasional errors
For plain text OCR, PaddleOCR is faster. For OCR + understanding, Qwen2.5-VL wins.
Video Understanding
Qwen2.5-VL supports video input (uniformly sampled frames):
- 8 frames, 720p: 1.4 s encode, full decode
- 16 frames, 720p: 2.8 s encode
- Max sensible context on 16 GB: ~32 frames
Useful for surveillance event summarisation, video content moderation, short-clip QA.
Qwen2.5-VL on Blackwell 16GB
OCR + vision QA at 90 t/s FP8. UK dedicated hosting.
Order the RTX 5060 Ti 16GBSee also: Llama 3.2 Vision, PaddleOCR, multimodal, document Q&A, Qwen 2.5 guide.
