text model · gemma · macOS
Can I run Gemma 2 27B on Apple M2 (16GB)?
No. Gemma 2 27B needs ~18.7 GB even at Q4_K_M, but Apple M2 (16GB) only has ~10.5 GB usable.
Needs ~18.7 GB even at Q4_K_M, but only ~10.5 GB is usable.
- Q4_K_M needed
- ~18.7 GB
- Usable on device
- ~10.5 GB
- Device memory
- 16 GB
- Parameters
- 27B
- Q4_K_M size
- 16.65 GB
- Q8_0 size
- 28.94 GB
- Context
- 8k
- Ollama tag
- gemma2:27b
- Memory
- 16 GB unified
- Usable for weights
- ~10.5 GB
- Best runtime
- Ollama (llama.cpp Metal backend) / MLX
What you can run instead
Run Gemma 2 27B on other hardware
FAQ
Can Apple M2 (16GB) run Gemma 2 27B?
No. Gemma 2 27B needs ~18.7 GB even at Q4_K_M, but Apple M2 (16GB) only has ~10.5 GB usable.
How much memory does Gemma 2 27B need?
Apple M2 (16GB) does not have enough memory. At Q4_K_M the weights are ~16.65 GB; with KV cache and runtime overhead, budget ~18.7 GB at a 4k context.
What is the best tool to run Gemma 2 27B on macOS?
LM Studio for a simple setup; mlx-lm for the most speed. vLLM is NOT a Mac tool, it is a CUDA/Linux serving engine. Unified memory is not a fixed VRAM slice; ~70% is usable for weights.
Sources
Memory figures are estimates. See methodology.