Text model · gemma
Gemma 3 1B requirements
gemma family · 1B params · released 2025-03-12 · 32.8M Ollama pulls. Minimum to run at Q4_K_M: Apple M1 (8GB).
Quantization sizes
| Quantization | Size on disk |
|---|---|
| Q2_K | 0.4 GB est |
| Q3_K_M | 0.5 GB est |
| Q4_K_M (default) | 0.81 GB |
| Q5_K_M | 0.7 GB est |
| Q6_K | 0.8 GB est |
| Q8_0 | 1.07 GB |
| FP16 | 2 GB est |
Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.
Run it
ollama run gemma3:1b llama-cli -hf bartowski/google_gemma-3-1b-it-GGUF:Q4_K_M lms get bartowski/google_gemma-3-1b-it-GGUF Which devices can run Gemma 3 1B?
Apple Silicon Macs
RAM-only laptops
iPhone & iPad
Android
NVIDIA GPUs
AMD GPUs
FAQ
How much VRAM or RAM does Gemma 3 1B need?
At Q4_K_M, Gemma 3 1B needs about 1.8 GB (weights ~0.81 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~2.1 GB.
Can Gemma 3 1B run on a laptop?
Yes, Gemma 3 1B fits on a 16 GB machine at Q4_K_M and runs on Apple Silicon or a 12 GB+ GPU comfortably.
Can I use Gemma 3 1B commercially?
Conditionally. Gemma Terms of Use apply to commercial use.
Google's ultra-small Gemma 3 model. 32K context, multilingual support, strong reasoning for 1B scale. Designed to run on a single GPU or phone-class hardware.
Sources
Memory figures are estimates. See methodology.