Can I Run Llama 4 on Apple M3 Max?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 29 września 2026
Yes, comfortably — Llama 4 Scout 17B at Q4_K_M needs 68.2 GB at 8K context (65.8 GB weights + 2.4 GB KV cache/overhead), leaving ~27.8 GB of the Apple M3 Max's 96 GB usable memory, at ~19 tok/s (est.), with room for up to 128K context.
See what else this hardware can run →
lub porównaj w Vast.ai od $0.77/godz. (typical low · varies)
Jako partner Amazon zarabiamy na kwalifikujących się zakupach. Linki do chmurowych GPU są linkami polecającymi — możemy otrzymać prowizję bez dodatkowych kosztów dla Ciebie.
Apple M3 Max Specs
| VRAM | 128 GB unified memory |
| Memory Bandwidth | 400 GB/s |
Llama 4 Scout 17B on the Apple M3 Max: VRAM by quantization
| Quant | VRAM needed | Fits 128 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 220.4 GB | ✗ No | — | — |
| Q8_0 | 118.2 GB | ✗ No | — | — |
| Q6_K | 91.8 GB | ✓ Yes | 16K | — |
| Q5_K_M | 79.7 GB | ✓ Yes | 64K | — |
| Q4_K_M | 68.2 GB | ✓ Yes | 128K | — |
| Q3_K_M | 48.9 GB | ✓ Yes | 128K | — |
| Q2_K | 38.2 GB | ✓ Yes | 256K | — |
Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 128 GB of unified memory. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the Apple M3 Max: 8K 68.2 GB · 32K 73.1 GB · 128K 92.4 GB. Every window this model publishes still fits 128 GB.
No compatible GPU? Llama 4 Scout 17B on 48 GB of system RAM, CPU only: runs, but it is tight.
Llama 4 Sizes That Fit the Apple M3 Max (at 8K context)
| Llama 4 Scout 17B | Q4_K_M · 68.2 GB at 8K context · ~19 tok/s (est.) |
Llama 4 needs ~68 GB but this GPU has 128 GB. Rent a A100 (80 GB)-class GPU by the hour instead of buying one:
Affiliate links — we may earn a commission if you sign up, at no extra cost to you.
Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Is the Apple M3 Max enough to run Llama 4 locally?
Yes, comfortably — Llama 4 Scout 17B at Q4_K_M needs 68.2 GB at 8K context (65.8 GB weights + 2.4 GB KV cache/overhead), leaving ~27.8 GB of the Apple M3 Max's 96 GB usable memory, at ~19 tok/s (est.), with room for up to 128K context.
What's the best Llama 4 size for the Apple M3 Max?
Llama 4 Scout 17B at Q4_K_M quantization needs 68.2 GB at 8K context (65.8 GB weights + 2.4 GB KV cache/overhead), estimated ~19 tokens/sec, up to 128K context.
Every Llama 4 size on the Apple M3 Max
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Llama 4 Maverick 17B | 243.9 GB | Does not fit | — |
| Llama 4 Scout 17B | 68.2 GB | Runs | ~19 tok/s |
Llama 4 on Other GPUs
- Llama 4 on Apple M4 Max
- Llama 4 on Apple M1 Ultra
- Llama 4 on Apple M5 Max
- Llama 4 on NVIDIA DGX Spark
- Llama 4 on AMD Ryzen AI Max+ 395
Popular Models on the Apple M3 Max
VRAM Tier
Troubleshooting
Buying Guide
← Can I Run It? | Llama 4 Model Page | Apple M3 Max GPU Page | VRAM calculator | Check Your Hardware