Question 1

Can I run Gemma 4 26B A4B on a Apple M1 Pro (10-core GPU)?

Accepted Answer

Yes — Apple M1 Pro (10-core GPU) runs Gemma 4 26B A4B fully on GPU at the Q4_K_M quantization. Full GPU inference — 32 GB VRAM meets the 24 GB recommendation.

Question 2

What quantization of Gemma 4 26B A4B should I use on a Apple M1 Pro (10-core GPU)?

Accepted Answer

For 32 GB VRAM on the Apple M1 Pro (10-core GPU), the Q4_K_M variant is the best fit. Estimated ~9.6 tokens/sec on the Q4_K_M quantization.

Question 3

How fast does Gemma 4 26B A4B run on Apple M1 Pro (10-core GPU)?

Accepted Answer

Roughly 9.6 tokens/sec for Q4_K_M. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Question 4

What if Apple M1 Pro (10-core GPU) is not enough for Gemma 4 26B A4B?

Accepted Answer

Try a smaller quantization variant or run on CPU + RAM with the trade-off of slower generation.

Quantization	File Size	Min VRAM	Rec VRAM	Context	Verdict	Estimated tok/s
Q3_K_M	13.3 GB	15 GB	18 GB	8K / 256K	Full GPU	~10.4
Q4_K_MBest fit	16.6 GB	18.5 GB	24 GB	8K / 256K	Full GPU	~9.6
Q8_0	29.2 GB	31 GB	36 GB	8K / 256K	Partial GPU	~4.6

Can I Run Gemma 4 26B A4B on Apple M1 Pro (10-core GPU)?

Share this matchup

Every Gemma 4 26B A4B quantization on Apple M1 Pro (10-core GPU)