Can the NVIDIA RTX 3090 run Gemma 3 4B?
Yes
QuantFP16Full quality
Memory10.3 GBof 24 GB
Speed~65tokens/s
Yes. The NVIDIA RTX 3090 can run Gemma 3 4B fully in VRAM at FP16 (full quality), using about 10.3 GB of the 24 GB available, at roughly 65 tokens/second.
Try other context lengths in the calculator →Memory needed by quantization
At 8,192 tokens of context.
| Quant | Quality | Memory | Fits? | Speed |
|---|---|---|---|---|
| FP16 | Full quality | 10.3 GB | Fits | ~65 tok/s |
| Q8_0 | Near-lossless | 6.3 GB | Fits | ~123 tok/s |
| Q6_K | Excellent | 5.3 GB | Fits | ~159 tok/s |
| Q5_K_M | Very good | 4.8 GB | Fits | ~184 tok/s |
| Q4_K_M | Good, most popular | 4.3 GB | Fits | ~215 tok/s |
| Q3_K_M | Noticeably degraded | 3.8 GB | Fits | ~267 tok/s |
| Q2_K | Heavily degraded | 3.4 GB | Fits | ~348 tok/s |
How to run Gemma 3 4B on the NVIDIA RTX 3090
With Ollama installed, one command downloads and starts it:
ollama run gemma3:4bOllama's default download is Q4_K_M (about 4.3 GB here). You have room for FP16, which is full quality: pick that GGUF in LM Studio or from Hugging Face.
GPUs that run Gemma 3 4B comfortably
- NVIDIA RTX 4060 (8 GB)
- NVIDIA RTX 3070 (8 GB)
- NVIDIA RTX 3080 10GB
- NVIDIA RTX 3060 12GB
- NVIDIA RTX 4070 (12 GB)
Models that run well on the NVIDIA RTX 3090
Run it in the cloud
Don't want to buy hardware? Run Gemma 3 4B on a rented GPU today.
Rent a cloud GPU by the hour. No upfront cost, cancel any time.