Can the MacBook Pro 16" M4 Max run Gemma 4 26B A4B?

Yes. Gemma 4 26B A4B fits the MacBook Pro 16" M4 Max's 48 GB at Q4_K_M (about 16.8 GB needed), running at an estimated 92 tok/s. There's room for up to Q8_0 if you want higher quality.

Memory
48 GB
Needs at Q4
16.8 GB
Headroom
31.2 GB
Speed (Q4_K_M)
~92 tok/s

Every quantization

Gemma 4 26B A4B (26.5B, 4B active) on 48 GB

QuantWeightsNeedsFitEst. speed
Q4_K_M15 GB16.8 GBFits easily~92 tok/s
Q5_K_M19 GB20.8 GBFits easily~73 tok/s
Q8_028 GB29.8 GBFits~49 tok/s
FP1653 GB54.8 GBToo big -

Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the MacBook Pro 16" M4 Max's 546 GB/s bandwidth (Estimated from memory bandwidth (llama.cpp decode)). Long contexts need more memory and run slower.

Run it

Copy, paste, go

llama-server -hf google/gemma-4-26B-A4B-it-qat-q4_0-gguf -ngl 99

Ollama pulls a Q4 build by default. Pick a larger quant only if the table above says it fits. Full Gemma 4 26B A4B details →

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Same model, other hardware - and other models on this card

Gemma 4 26B A4B on other hardware

Also runs on the MacBook Pro 16" M4 Max

Frequently asked

Quick answers

Can the Apple MacBook Pro 16" M4 Max run Gemma 4 26B A4B?

Yes. Gemma 4 26B A4B fits the MacBook Pro 16" M4 Max's 48 GB at Q4_K_M (about 16.8 GB needed), running at an estimated 92 tok/s. There's room for up to Q8_0 if you want higher quality.

How much VRAM does Gemma 4 26B A4B need?

About 15 GB of weights at Q4_K_M, 28 GB at Q8_0 and 53 GB at FP16. Add roughly 1.8 GB for the KV cache and runtime at modest context lengths.

How fast is Gemma 4 26B A4B on the MacBook Pro 16" M4 Max?

Roughly 92 tokens per second at Q4_K_M (single user, llama.cpp-style decode). This is an estimate from the MacBook Pro 16" M4 Max's 546 GB/s memory bandwidth; as a mixture-of-experts model only about 4B parameters are read per token, which is why it is faster than its size suggests.