Text model · Qwen2.5
Qwen2.5 14B requirements
Qwen2.5 family · 14B 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 | 5.9 GB est |
| Q3_K_M | 6.8 GB est |
| Q4_K_M (default) | 8.99 GB |
| Q5_K_M | 10 GB est |
| Q6_K | 11.5 GB est |
| Q8_0 | 15.7 GB |
| FP16 | 28 GB est |
Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.
Run it
ollama run qwen2.5:14b llama-cli -hf bartowski/Qwen2.5-14B-Instruct-GGUF:Q4_K_M lms get bartowski/Qwen2.5-14B-Instruct-GGUF Which devices can run Qwen2.5 14B?
Apple Silicon Macs
RAM-only laptops
iPhone & iPad
Android
NVIDIA GPUs
AMD GPUs
FAQ
How much VRAM or RAM does Qwen2.5 14B need?
At Q4_K_M, Qwen2.5 14B needs about 10.7 GB (weights ~8.99 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~17.4 GB.
Can Qwen2.5 14B run on a laptop?
Qwen2.5 14B is large; you need a 24 GB+ GPU or a 32-48 GB Mac at Q4_K_M.
Can I use Qwen2.5 14B commercially?
Yes. Qwen2.5 14B is licensed Apache-2.0, which permits commercial use.
Ollama shows 9.0GB (rounded); bartowski HF repo gives 8.99GB Q4_K_M and 15.70GB Q8_0. Default context 128K.
Sources
Memory figures are estimates. See methodology.