Text model · Qwen2.5-VL
Qwen2.5-VL 7B requirements
Qwen2.5-VL family · 8.29B params · released Jan 2025. Minimum to run at Q4_K_M: Nvidia GeForce RTX 3060 (12GB).
Quantization sizes
| Quantization | Size on disk |
|---|---|
| Q2_K | 3.5 GB est |
| Q3_K_M | 4.1 GB est |
| Q4_K_M (default) | 5.62 GB |
| Q5_K_M | 5.9 GB est |
| Q6_K | 6.8 GB est |
| Q8_0 | 9.59 GB |
| FP16 | 16.6 GB est |
Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.
Run it
llama-cli -hf ggml-org/Qwen2.5-VL-7B-Instruct-GGUF:Q4_K_M lms get ggml-org/Qwen2.5-VL-7B-Instruct-GGUF Which devices can run Qwen2.5-VL 7B?
Apple Silicon Macs
RAM-only laptops
iPhone & iPad
Android
NVIDIA GPUs
AMD GPUs
FAQ
How much VRAM or RAM does Qwen2.5-VL 7B need?
At Q4_K_M, Qwen2.5-VL 7B needs about 7.1 GB (weights ~5.62 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~11.1 GB.
Can Qwen2.5-VL 7B run on a laptop?
Qwen2.5-VL 7B is large; you need a 24 GB+ GPU or a 32-48 GB Mac at Q4_K_M.
Can I use Qwen2.5-VL 7B commercially?
Yes. Qwen2.5-VL 7B is licensed Apache-2.0, which permits commercial use.
Qwen2.5-VL 7B vision-language model: chats about images. Q4_K_M ~4.4GB plus a ~1.26GB fp16 vision projector (mmproj), folded into the totals. Sizes from the ggml-org GGUF repo. Vision needs an mmproj-capable runtime; many mobile runtimes do not support it yet.
Sources
Memory figures are estimates. See methodology.