Gemma 3 27B
Google's flagship open model. Near GPT-4 quality. Needs 20GB+ RAM.
27B parametersgemma3gemma32K context15.91GB - 15.91GB VRAM
Check Your Hardware
See which quantizations of Gemma 3 27B your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 15.41 GB | 15.91 GB | 16.41 GB | 85% |
Measured Inference Speed
hf-inference · 4/28/2026Real numbers from streaming inference, not just our hardware estimate.
16.0tok/s
Sustained throughput
3568ms
Time to first token
128tokens
Generated in 8.0s
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 3 27B?
Gemma 3 27B requires 15.91GB VRAM minimum with Q4_K_M quantization. For full precision, you need 15.91GB VRAM.
What is the best quantization for Gemma 3 27B?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.