Can I Run / Gemma 4 26B A4B / on Apple M5 Ultra (96GB)

Can I Run Gemma 4 26B A4B on a Apple M5 Ultra (96GB)?

Yes

Runs at full precision (fp16). Zero quality loss.

Model size
26.0B
GPU memory
96.0GB
Smallest quant
Q4_K_M
Best fit
fp16

5 quantizations fit your 96.0GB

QuantMin VRAMRecommendedFile sizeHeadroom
fp16BEST53.0 GB54.5 GB52.0 GB+43.0 GB
Q8_028.6 GB30.1 GB27.6 GB+67.4 GB
Q6_K22.4 GB23.9 GB21.4 GB+73.6 GB
Q5_K_M19.5 GB21.0 GB18.5 GB+76.5 GB
Q4_K_M16.8 GB18.3 GB15.8 GB+79.2 GB

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Full model details
Gemma 4 26B A4B

All quant variants, benchmark scores, and use-case tags.

Best models for this GPU
Apple M5 Ultra (96GB)

Top-ranked open-source models that fit in 96.0GB.

FAQ

Can the Apple M5 Ultra (96GB) run Gemma 4 26B A4B?

Yes. The Apple M5 Ultra (96GB)'s 96.0GB of unified memory is enough to run Gemma 4 26B A4B at fp16 quantization (53.0GB required).

What's the best quantization to use?

fp16 is the highest-precision quantization that fits in your 96.0GB. It uses about 53.0GB of memory and 54.5GB recommended for comfortable inference.

What if I need more headroom for context length?

KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.