Text model · Qwen2.5
Qwen2.5 1.5B requirements
Qwen2.5 family · 1.54B params · released 2024-09-19 · 23.2M Ollama pulls. Minimum to run at Q4_K_M: Apple M1 (8GB).
Quantization sizes
| Quantization | Size on disk |
|---|---|
| Q2_K | 0.6 GB est |
| Q3_K_M | 0.8 GB est |
| Q4_K_M (default) | 1.12 GB |
| Q5_K_M | 1.1 GB est |
| Q6_K | 1.3 GB est |
| Q8_0 | 1.89 GB |
| FP16 | 3.1 GB est |
Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.
Run it
ollama run qwen2.5:1.5b llama-cli -hf Qwen/Qwen2.5-1.5B-Instruct-GGUF:Q4_K_M lms get Qwen/Qwen2.5-1.5B-Instruct-GGUF Which devices can run Qwen2.5 1.5B?
Apple Silicon Macs
RAM-only laptops
iPhone & iPad
Android
NVIDIA GPUs
AMD GPUs
FAQ
How much VRAM or RAM does Qwen2.5 1.5B need?
At Q4_K_M, Qwen2.5 1.5B needs about 2.2 GB (weights ~1.12 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~3 GB.
Can Qwen2.5 1.5B run on a laptop?
Yes, Qwen2.5 1.5B 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 1.5B commercially?
Yes. Qwen2.5 1.5B is licensed Apache-2.0, which permits commercial use.
Strong 1.5B edge model from Alibaba. 128K context, 8K generation. Popular for phone and laptop inference with good multilingual and instruction-following capability.
Sources
Memory figures are estimates. See methodology.