Can the Apple M4 Max (128GB) run Llama 4 Scout 17B-16E?

Yes
QuantQ6_KExcellent
Memory91.6 GBof 96 GB
Speed~24tokens/s

Yes. The Apple M4 Max (128GB) can run Llama 4 Scout 17B-16E fully in unified memory at Q6_K (excellent), using about 91.6 GB of the 96 GB available, at roughly 24 tokens/second.

Try other context lengths in the calculator →

Memory needed by quantization

At 8,192 tokens of context. macOS lets the GPU use about 96 GB of the 128 GB unified memory by default.

QuantQualityMemoryFits?Speed
FP16Full quality220.2 GBToo big—
Q8_0Near-lossless118 GBToo big—
Q6_KExcellent91.6 GBFits~24 tok/s
Q5_K_MVery good79.7 GBFits~27 tok/s
Q4_K_MGood, most popular68.3 GBFits~32 tok/s
Q3_K_MNoticeably degraded55.5 GBFits~39 tok/s
Q2_KHeavily degraded43.1 GBFits~51 tok/s

How to run Llama 4 Scout 17B-16E on the Apple M4 Max (128GB)

With Ollama installed, one command downloads and starts it:

ollama run llama4:scout

Ollama's default download is Q4_K_M (about 68.3 GB here). You have room for Q6_K, which is excellent: pick that GGUF in LM Studio or from Hugging Face.

GPUs that run Llama 4 Scout 17B-16E comfortably

Models that run well on the Apple M4 Max (128GB)

Run it in the cloud

Don't want to buy hardware? Run Llama 4 Scout 17B-16E on a rented GPU today.

Rent a cloud GPU by the hour. No upfront cost, cancel any time.