Gemma 4 31B on Apple M4 (16GB Unified)

M4 (16GB Unified) cannot run Gemma 4 31B. 16 GB VRAM is insufficient at any quantization level.

Model Size

30.7B

Device VRAM

16 GB

Bandwidth

120 GB/s

Quantization

Q3_K_M

Benchmarks

Performance by Quantization

OwnRig currently has one published compatibility entry for Gemma 4 31B on Apple M4 (16GB Unified) at Q3_K_M. This pairing has limitations — check the rating and notes below.

Quantization	Speed	TTFT	Fits in VRAM	Rating	Confidence
Q3_K_M	1 tok/s	2000ms	✗ Offload	Not viable	estimated

Notes

Q3_K_M

30.7B model. Q3_K_M 14.59GB on 16GB apple_silicon.

About Gemma 4 31B

Gemma 4 31B (30.7B) is a chat, coding, reasoning, multi-purpose model. Google's flagship open-weight model. Dense 30.7B parameters with 256K context. Benchmarks: 89.2% AIME 2026, 85.2% MMLU Pro, 84.3% GPQA Diamond, 80.0% LiveCodeBench v6, 86.4% agentic tool use. Supports text, image, and video input. Fits on a single RTX 4090 at Q4 or dual 16 GB GPUs. Direct successor to Gemma 3 27B with substantially better reasoning. Apache 2.0 licensed.

View all Gemma 4 31B hardware options →

About Apple M4 (16GB Unified)

Apple M4 (16GB Unified) has 16 GB at 120 GB/s. Available in Mac Mini, MacBook Pro 14", MacBook Air 13", MacBook Air 15", iPad Pro.

See all models Apple M4 (16GB Unified) can run →

Estimate method: Estimated from model architecture, quantization size, and device bandwidth. Reference hardware source: huggingface.co (2026-04-04)

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.