Can the NVIDIA RTX 3070 run Gemma 2 27B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
No. Even at Q4_K_M, Gemma 2 27B needs about 20.2 GB, but the NVIDIA RTX 3070 has 8 GB usable. You could offload some layers to system RAM, but it will be very slow.
Run it on a rented GPU
On a cloud GPU with enough memory, the same command you'd use locally works:
ollama run gemma2:27bAt Q4_K_M it needs about 20.2 GB, so pick a GPU with at least 24 GB.
Run it in the cloud
Too big for the NVIDIA RTX 3070? Run Gemma 2 27B on a rented GPU instead.
Rent a cloud GPU by the hour. No upfront cost, stop any time.
Memory needed by quantization
At 8,192 tokens of context. The black line marks the 8 GB the NVIDIA RTX 3070 can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 58.1 GB | Too big | — | |
| Q8_0 | Near-lossless | 32.6 GB | Too big | — | |
| Q6_K | Excellent | 26 GB | Too big | — | |
| Q5_K_M | Very good | 23 GB | Too big | — | |
| Q4_K_M | Good, most popular | 20.2 GB | Too big | — | |
| Q3_K_M | Noticeably degraded | 17 GB | Too big | — | |
| Q2_K | Heavily degraded | 13.9 GB | Too big | — |
GPUs that run Gemma 2 27B comfortably
Models that run well on the NVIDIA RTX 3070
Frequently asked questions
Can NVIDIA RTX 3070 run Gemma 2 27B?
No. Even at Q4_K_M, Gemma 2 27B needs about 20.2 GB, but the NVIDIA RTX 3070 has 8 GB usable. You could offload some layers to system RAM, but it will be very slow.
How much VRAM does Gemma 2 27B need?
About 20.2 GB at Q4_K_M with 8,192 tokens of context, and about 58.1 GB at full FP16 precision.
How fast is Gemma 2 27B on the NVIDIA RTX 3070?
It does not fit in the NVIDIA RTX 3070's memory, so most layers would run from system RAM and generation would be very slow.