Gemma 2 2B
Google's compact 2.6B model. Efficient and capable for mobile use.
2.6B parametersgemma2gemma8K context2.09GB - 3.09GB VRAM
Check Your Hardware
See which quantizations of Gemma 2 2B your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 1.591 GB | 2.09 GB | 2.59 GB | 85% |
| Q8_0 | 8 | 2.593 GB | 3.09 GB | 3.59 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 2B?
Gemma 2 2B requires 2.09GB VRAM minimum with Q4_K_M quantization. For full precision, you need 3.09GB VRAM.
What is the best quantization for Gemma 2 2B?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.