Can the Apple M4 Max (128GB) run Llama 4 Scout 17B-16E?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
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.
Run it with Ollama
With Ollama installed, one command downloads and starts Llama 4 Scout 17B-16E:
ollama run llama4:scoutOllama'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.
Run it in the cloud
No Apple M4 Max (128GB)? Run Llama 4 Scout 17B-16E in the cloud.
Rent a cloud GPU by the hour. No upfront cost, stop any time.
Memory needed by quantization
At 8,192 tokens of context. The black line marks the 96 GB the Apple M4 Max (128GB) can use. macOS lets the GPU use about 96 GB of the 128 GB unified memory by default.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 220.2 GB | Too big | — | |
| Q8_0 | Near-lossless | 118 GB | Too big | — | |
| Q6_K | Excellent | 91.6 GB | Fits | ~24 tok/s | |
| Q5_K_M | Very good | 79.7 GB | Fits | ~27 tok/s | |
| Q4_K_M | Good, most popular | 68.3 GB | Fits | ~32 tok/s | |
| Q3_K_M | Noticeably degraded | 55.5 GB | Fits | ~39 tok/s | |
| Q2_K | Heavily degraded | 43.1 GB | Fits | ~51 tok/s |
GPUs that run Llama 4 Scout 17B-16E comfortably
Models that run well on the Apple M4 Max (128GB)
Frequently asked questions
Can Apple M4 Max (128GB) run Llama 4 Scout 17B-16E?
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.
How much VRAM does Llama 4 Scout 17B-16E need?
About 68.3 GB at Q4_K_M with 8,192 tokens of context, and about 220.2 GB at full FP16 precision.
How fast is Llama 4 Scout 17B-16E on the Apple M4 Max (128GB)?
Roughly 24 tokens per second at Q6_K, estimated from the Apple M4 Max (128GB)'s 546 GB/s memory bandwidth.