GoogleGemma 2 27B Instruct on Apple M3 Pro (18GB Unified)
M3 Pro (18GB Unified) cannot run Gemma 2 27B Instruct. 18 GB VRAM is insufficient at any quantization level.
Model Size
27.23B
Device VRAM
18 GB
Bandwidth
150 GB/s
Quantization
Q4_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Gemma 2 27B Instruct on Apple M3 Pro (18GB Unified) at Q4_K_M. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q4_K_M | – | – | ✗ Offload | Not viable | estimated |
Notes
Q4_K_M
Q4 16.3GB exceeds 14GB effective. Doesn't fit.
About Gemma 2 27B Instruct
Gemma 2 27B Instruct (27.23B) is a chat, coding, reasoning, multi-purpose model. Google's 27B model with effective knowledge distillation. Reasoning and coding at a size that fits on a single 24 GB GPU at Q4. Limited to 8K context.
View all Gemma 2 27B Instruct hardware options →About Apple M3 Pro (18GB Unified)
Apple M3 Pro (18GB Unified) has 18 GB at 150 GB/s. Available in MacBook Pro 14", MacBook Pro 16".
See all models Apple M3 Pro (18GB Unified) can run →Estimate method: MLX performance estimates. Reference hardware source: github.com (2026-03-15)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.