Text model · Qwen2.5-VL
Qwen2.5-VL 3B requirements
Qwen2.5-VL family · 3.75B params · released Jan 2025. Minimum to run at Q4_K_M: Apple M1 (8GB).
Quantization sizes
| Quantization | Size on disk |
|---|---|
| Q2_K | 1.6 GB est |
| Q3_K_M | 1.8 GB est |
| Q4_K_M (default) | 3.05 GB |
| Q5_K_M | 2.7 GB est |
| Q6_K | 3.1 GB est |
| Q8_0 | 5.1 GB |
| FP16 | 7.5 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-3B-Instruct-GGUF:Q4_K_M lms get ggml-org/Qwen2.5-VL-3B-Instruct-GGUF Which devices can run Qwen2.5-VL 3B?
Apple Silicon Macs
RAM-only laptops
iPhone & iPad
Android
NVIDIA GPUs
AMD GPUs
FAQ
How much VRAM or RAM does Qwen2.5-VL 3B need?
At Q4_K_M, Qwen2.5-VL 3B needs about 4.4 GB (weights ~3.05 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~6.4 GB.
Can Qwen2.5-VL 3B run on a laptop?
Yes, Qwen2.5-VL 3B fits on a 16 GB machine at Q4_K_M and runs on Apple Silicon or a 12 GB+ GPU comfortably.
Can I use Qwen2.5-VL 3B commercially?
Yes. Qwen2.5-VL 3B is licensed Apache-2.0, which permits commercial use.
Qwen2.5-VL 3B vision-language model: chats about images. Q4_K_M ~1.8GB plus a ~1.25GB fp16 vision projector (mmproj), folded into the totals. Sizes from the ggml-org GGUF repo. Vision input needs an mmproj-capable runtime (llama.cpp, LM Studio); many mobile runtimes do not support it yet.
Sources
Memory figures are estimates. See methodology.