Text model · Qwen2.5
Qwen2.5 7B requirements
Qwen2.5 family · 7B params · released Sep 2024 · 23.2M Ollama pulls. Minimum to run at Q4_K_M: Nvidia GeForce RTX 3060 (12GB).
Quantization sizes
| Quantization | Size on disk |
|---|---|
| Q2_K | 2.9 GB est |
| Q3_K_M | 3.4 GB est |
| Q4_K_M (default) | 4.68 GB |
| Q5_K_M | 5 GB est |
| Q6_K | 5.7 GB est |
| Q8_0 | 8.1 GB |
| FP16 | 14 GB est |
Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.
Run it
ollama run qwen2.5:7b llama-cli -hf bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M lms get bartowski/Qwen2.5-7B-Instruct-GGUF Which devices can run Qwen2.5 7B?
Apple Silicon Macs
RAM-only laptops
iPhone & iPad
Android
NVIDIA GPUs
AMD GPUs
FAQ
How much VRAM or RAM does Qwen2.5 7B need?
At Q4_K_M, Qwen2.5 7B needs about 6.1 GB (weights ~4.68 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~9.5 GB.
Can Qwen2.5 7B run on a laptop?
Yes, Qwen2.5 7B 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 7B commercially?
Yes. Qwen2.5 7B is licensed Apache-2.0, which permits commercial use.
Ollama shows 4.7GB (rounded); bartowski HF repo gives 4.68GB Q4_K_M and 8.10GB Q8_0. Default context 128K per official Qwen blog. Min RAM estimate adds ~1-2GB overhead over Q4_K_M size.
Sources
Memory figures are estimates. See methodology.