Can the Apple M1 (16GB) 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 Apple M1 (16GB) has 10.7 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 Apple M1 (16GB)? 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 10.7 GB the Apple M1 (16GB) can use. macOS lets the GPU use about 10.7 GB of the 16 GB unified memory by default.
| 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 Apple M1 (16GB)
Frequently asked questions
Can Apple M1 (16GB) run Gemma 2 27B?
No. Even at Q4_K_M, Gemma 2 27B needs about 20.2 GB, but the Apple M1 (16GB) has 10.7 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 Apple M1 (16GB)?
It does not fit in the Apple M1 (16GB)'s memory, so most layers would run from system RAM and generation would be very slow.