Skip to content
localmodel.run

text model · gemma · macOS

Can I run Gemma 3 27B on Apple M5 Pro (48GB)?

Compatibility verdict VRAM threshold engine
Yes, it runsGPU accelerated

Yes. Gemma 3 27B runs on Apple M5 Pro (48GB) at Q4_K_M (~18.6 GB of ~32 GB usable).

Needs ~18.6 GB Device usable ~32 GB

Runs at Q4_K_M using ~18.6 GB of ~32 GB usable. You have room for Q8_0 for higher quality.

Q4_K_M needed
~18.6 GB
Usable on device
~32 GB
Device memory
48 GB
Best quant
Q4_K_M

Run it

Install commands macOS

Pick your tool. All three load the same Q4_K_M weights.

Ollama
$ ollama run gemma3:27b
llama.cpp
$ llama-cli -hf bartowski/google_gemma-3-27b-it-GGUF:Q4_K_M
LM Studio
$ lms get bartowski/google_gemma-3-27b-it-GGUF

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.

Model gemma
Parameters
27B
Q4_K_M size
16.55 GB
Q8_0 size
28.71 GB
Context
128k
Ollama tag
gemma3:27b
Full Gemma 3 27B requirements →
Device macOS
Memory
48 GB unified
Usable for weights
~32 GB
Best runtime
MLX direct / Ollama (MLX backend)
Best models for Apple M5 Pro (48GB) →

You could also run

Run Gemma 3 27B on other hardware

Nvidia GeForce RTX 4090 (24GB)Nvidia GeForce RTX 3090 (24GB)AMD Radeon RX 7900 XTX (24GB)Nvidia GeForce RTX 5090 (32GB)32GB RAM Laptop (CPU/iGPU only)Apple M5 (32GB)

FAQ

Can Apple M5 Pro (48GB) run Gemma 3 27B?

Yes. Gemma 3 27B runs on Apple M5 Pro (48GB) at Q4_K_M (~18.6 GB of ~32 GB usable).

How much memory does Gemma 3 27B need?

Apple M5 Pro (48GB) has room to spare. At Q4_K_M the weights are ~16.55 GB; with KV cache and runtime overhead, budget ~18.6 GB at a 4k context.

What is the best tool to run Gemma 3 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.