Can the Apple M3 Max (64GB) run Llama 4 Scout 17B-16E?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Only just. Llama 4 Scout 17B-16E fits on the Apple M3 Max (64GB) at Q2_K, which costs noticeable quality. Expect about 38 tokens/second. A card with more memory is a better experience.
Run it with Ollama
Ollama's default llama4:scout download is Q4_K_M, which needs about 68.3 GB, more than the 48 GB available. Download the Q2_K GGUF instead (LM Studio lists quants per model), or try a smaller context length.
Run it in the cloud
Want full quality? Run Llama 4 Scout 17B-16E on a bigger rented GPU.
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 48 GB the Apple M3 Max (64GB) can use. macOS lets the GPU use about 48 GB of the 64 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 | Too big | — | |
| Q5_K_M | Very good | 79.7 GB | Too big | — | |
| Q4_K_M | Good, most popular | 68.3 GB | Too big | — | |
| Q3_K_M | Noticeably degraded | 55.5 GB | Too big | — | |
| Q2_K | Heavily degraded | 43.1 GB | Fits | ~38 tok/s |
GPUs that run Llama 4 Scout 17B-16E comfortably
Models that run well on the Apple M3 Max (64GB)
Frequently asked questions
Can Apple M3 Max (64GB) run Llama 4 Scout 17B-16E?
Only just. Llama 4 Scout 17B-16E fits on the Apple M3 Max (64GB) at Q2_K, which costs noticeable quality. Expect about 38 tokens/second. A card with more memory is a better experience.
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 M3 Max (64GB)?
Roughly 38 tokens per second at Q2_K, estimated from the Apple M3 Max (64GB)'s 400 GB/s memory bandwidth.