Text model · Qwen3
Qwen3 0.6B requirements
Qwen3 family · 0.6B 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 | 0.3 GB est |
| Q3_K_M | 0.3 GB est |
| Q4_K_M (default) | 0.48 GB |
| Q5_K_M | 0.4 GB est |
| Q6_K | 0.5 GB est |
| Q8_0 | 0.8 GB |
| FP16 | 1.2 GB est |
Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.
Run it
ollama run qwen3:0.6b llama-cli -hf bartowski/Qwen_Qwen3-0.6B-GGUF:Q4_K_M lms get bartowski/Qwen_Qwen3-0.6B-GGUF Which devices can run Qwen3 0.6B?
Apple Silicon Macs
RAM-only laptops
iPhone & iPad
Android
NVIDIA GPUs
AMD GPUs
FAQ
How much VRAM or RAM does Qwen3 0.6B need?
At Q4_K_M, Qwen3 0.6B needs about 1.5 GB (weights ~0.48 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~1.8 GB.
Can Qwen3 0.6B run on a laptop?
Yes, Qwen3 0.6B 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 0.6B commercially?
Yes. Qwen3 0.6B is licensed Apache-2.0, which permits commercial use.
Smallest Qwen3 dense model. Supports thinking/non-thinking dual mode, 32K native context (extendable to 128K via YaRN). Designed for extreme edge and on-device use.
Sources
Memory figures are estimates. See methodology.