Gemma 2 9B Instruct
Google's efficient 9B model. Great performance-to-size ratio.
9.2B parametersgemma2gemma8K context5.87GB - 9.65GB VRAM
Check Your Hardware
See which quantizations of Gemma 2 9B Instruct your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 5.365 GB | 5.87 GB | 6.37 GB | 85% |
| Q5_K_M | 5.5 | 6.191 GB | 6.69 GB | 7.19 GB | 90% |
| Q8_0 | 8 | 9.152 GB | 9.65 GB | 10.15 GB | 98% |
See It In Action
Real model outputs generated via RunThisModel.com — watch responses stream in real time.
Llama 3.3 70B responding...
Outputs generated by real AI models via RunThisModel.com. Generation speed shown is from cloud inference. Local speeds vary by hardware — check your device.
Frequently Asked Questions
How much VRAM do I need to run Gemma 2 9B Instruct?
Gemma 2 9B Instruct requires 5.87GB VRAM minimum with Q4_K_M quantization. For full precision, you need 9.65GB VRAM.
What is the best quantization for Gemma 2 9B Instruct?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.