Can I Run Llama 4.5 on Apple M5 Max?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 29 września 2026
Yes, comfortably — Llama 4.5 Scout at Q4_K_M needs 69.4 GB at 8K context (65.8 GB weights + 3.6 GB KV cache/overhead), leaving ~26.6 GB of the Apple M5 Max's 96 GB usable memory, at ~27 tok/s (est.), with room for up to 64K 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 M5 Max Specs
| VRAM | 128 GB unified memory |
| Memory Bandwidth | 614 GB/s |
Llama 4.5 Scout on the Apple M5 Max: VRAM by quantization
| Quant | VRAM needed | Fits 128 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 221.6 GB | ✗ No | — | — |
| Q8_0 | 119.4 GB | ✗ No | — | — |
| Q6_K | 92.9 GB | ✓ Yes | 16K | — |
| Q5_K_M | 80.8 GB | ✓ Yes | 32K | — |
| Q4_K_M | 69.4 GB | ✓ Yes | 64K | — |
| Q3_K_M | 50 GB | ✓ Yes | 128K | — |
| Q2_K | 39.4 GB | ✓ Yes | 128K | — |
Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. 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 M5 Max: 8K 69.4 GB · 32K 77.6 GB · 128K 110.6 GB ✗. Past 128K it no longer fits 128 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Llama 4.5 Scout on 64 GB of system RAM, CPU only: runs, but it is tight.
Llama 4.5 Sizes That Fit the Apple M5 Max (at 8K context)
| Llama 4.5 Scout | Q4_K_M · 69.4 GB at 8K context · ~27 tok/s (est.) |
Llama 4.5 needs ~69 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
Will Llama 4.5 run on the Apple M5 Max?
Yes, comfortably — Llama 4.5 Scout at Q4_K_M needs 69.4 GB at 8K context (65.8 GB weights + 3.6 GB KV cache/overhead), leaving ~26.6 GB of the Apple M5 Max's 96 GB usable memory, at ~27 tok/s (est.), with room for up to 64K context.
Which Llama 4.5 variant fits best on the Apple M5 Max?
Llama 4.5 Scout at Q4_K_M quantization needs 69.4 GB at 8K context (65.8 GB weights + 3.6 GB KV cache/overhead), estimated ~27 tokens/sec, up to 64K context.
Llama 4.5 on Other GPUs
- Llama 4.5 on Apple M4 Max
- Llama 4.5 on Apple M3 Max
- Llama 4.5 on Apple M1 Ultra
- Llama 4.5 on NVIDIA DGX Spark
- Llama 4.5 on AMD Ryzen AI Max+ 395
Popular Models on the Apple M5 Max
VRAM Tier
Troubleshooting
Buying Guide
← Can I Run It? | Llama 4.5 Model Page | Apple M5 Max GPU Page | VRAM calculator | Check Your Hardware