Text model · gemma
Gemma 2 9B requirements
gemma family · 9B params · released Jun 2024 · 17.2M Ollama pulls · LMArena Elo 1266. Minimum to run at Q4_K_M: Nvidia GeForce RTX 3060 (12GB).
Quantization sizes
| Quantization | Size on disk |
|---|---|
| Q2_K | 3.8 GB est |
| Q3_K_M | 4.4 GB est |
| Q4_K_M (default) | 5.76 GB |
| Q5_K_M | 6.4 GB est |
| Q6_K | 7.4 GB est |
| Q8_0 | 9.83 GB |
| FP16 | 18 GB est |
Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.
Run it
ollama run gemma2:9b llama-cli -hf bartowski/gemma-2-9b-it-GGUF:Q4_K_M lms get bartowski/gemma-2-9b-it-GGUF Which devices can run Gemma 2 9B?
Apple Silicon Macs
RAM-only laptops
iPhone & iPad
Android
NVIDIA GPUs
AMD GPUs
FAQ
How much VRAM or RAM does Gemma 2 9B need?
At Q4_K_M, Gemma 2 9B needs about 7.3 GB (weights ~5.76 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~11.3 GB.
Can Gemma 2 9B run on a laptop?
Gemma 2 9B is large; you need a 24 GB+ GPU or a 32-48 GB Mac at Q4_K_M.
Can I use Gemma 2 9B commercially?
Conditionally. Gemma Terms of Use apply to commercial use.
Released June 27, 2024. Uses sliding window attention with 8K context. Ollama default tag shows 5.4GB; bartowski HF repo gives precise 5.76GB Q4_K_M and 9.83GB Q8_0.
Sources
Memory figures are estimates. See methodology.