Text model · Qwen2.5-Coder
Qwen2.5 Coder 14B requirements
Qwen2.5-Coder family · 14B params · released Nov 2024 · 16.8M 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) | 8.37 GB |
| Q5_K_M | 10 GB est |
| Q6_K | 11.5 GB est |
| Q8_0 | 14.62 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-coder:14b llama-cli -hf bartowski/Qwen2.5-Coder-14B-Instruct-GGUF:Q4_K_M lms get bartowski/Qwen2.5-Coder-14B-Instruct-GGUF Which devices can run Qwen2.5 Coder 14B?
Apple Silicon Macs
RAM-only laptops
iPhone & iPad
Android
NVIDIA GPUs
AMD GPUs
FAQ
How much VRAM or RAM does Qwen2.5 Coder 14B need?
At Q4_K_M, Qwen2.5 Coder 14B needs about 10.1 GB (weights ~8.37 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~16.3 GB.
Can Qwen2.5 Coder 14B run on a laptop?
Qwen2.5 Coder 14B is large; you need a 24 GB+ GPU or a 32-48 GB Mac at Q4_K_M.
Can I use Qwen2.5 Coder 14B commercially?
Yes. Qwen2.5 Coder 14B is licensed Apache-2.0, which permits commercial use.
Qwen2.5-Coder, code-specialized. Q4_K_M and Q8_0 sizes from the bartowski GGUF repo. 32K native context, 128K with YaRN.
Sources
Memory figures are estimates. See methodology.