Text model · Qwen3
Qwen3 4B requirements
Qwen3 family · 4B params · released 2025-04-29 · 23M Ollama pulls. Minimum to run at Q4_K_M: Apple M1 (8GB).
Quantization sizes
| Quantization | Size on disk |
|---|---|
| Q2_K | 1.7 GB est |
| Q3_K_M | 2 GB est |
| Q4_K_M (default) | 2.5 GB |
| Q5_K_M | 2.9 GB est |
| Q6_K | 3.3 GB est |
| Q8_0 | 4.28 GB |
| FP16 | 8 GB est |
Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.
Run it
ollama run qwen3:4b llama-cli -hf Qwen/Qwen3-4B-GGUF:Q4_K_M lms get Qwen/Qwen3-4B-GGUF Which devices can run Qwen3 4B?
Apple Silicon Macs
RAM-only laptops
iPhone & iPad
Android
NVIDIA GPUs
AMD GPUs
FAQ
How much VRAM or RAM does Qwen3 4B need?
At Q4_K_M, Qwen3 4B needs about 3.8 GB (weights ~2.5 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~5.6 GB.
Can Qwen3 4B run on a laptop?
Yes, Qwen3 4B fits on a 16 GB machine at Q4_K_M and runs on Apple Silicon or a 12 GB+ GPU comfortably.
Can I use Qwen3 4B commercially?
Yes. Qwen3 4B is licensed Apache-2.0, which permits commercial use.
Claimed to rival Qwen2.5-72B-Instruct on several benchmarks. 32K native context (YaRN to 128K). Dual thinking/non-thinking mode. Excellent laptop-class edge model.
Sources
Memory figures are estimates. See methodology.