Can I Run Llama 3.2 90B Vision Instruct on Apple M4 Max?
作者： Jakub Rusinowski · 最后更新： 2026年9月29日
Yes. Llama 3.2 90B Vision Instruct needs 57.8 GB at 8K context (53.6 GB weights + 4.2 GB KV cache/overhead) at Q4_K_M and the Apple M4 Max has 96 GB usable, leaving about 38.2 GB of headroom, at roughly 5 tok/s (estimated) with room for up to 64K of context.
See what else this hardware can run →
The numbers
| Model | Llama 3.2 90B Vision Instruct |
| Parameters | 90B |
| Quantization | Q4_K_M |
| VRAM needed (8K context) | 57.8 GB |
| Apple M4 Max usable memory | 96 GB |
| Verdict | Runs |
| Max context | 64K |
| Estimated speed | ~5 tok/s |
Llama 3.2 90B Vision Instruct on the Apple M4 Max: VRAM by quantization
| Quant | VRAM needed | Fits 128 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 181.8 GB | ✗ No | — | — |
| Q8_0 | 98.5 GB | ✗ No | — | — |
| Q6_K | 77 GB | ✓ Yes | 32K | — |
| Q5_K_M | 67.1 GB | ✓ Yes | 64K | — |
| Q4_K_M | 57.8 GB | ✓ Yes | 64K | — |
| Q3_K_M | 42 GB | ✓ Yes | 64K | — |
| Q2_K | 33.3 GB | ✓ Yes | 64K | — |
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 M4 Max: 8K 57.8 GB · 32K 67.8 GB · 125K 106.8 GB ✗. Past 125K it no longer fits 128 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
What to do next
Nothing to change — run it at Q4_K_M. If you want more capability, check whether the next size up also fits.
No compatible GPU? Llama 3.2 Family on 8 GB of system RAM, CPU only: runs.
Running Llama 3.2 90B Vision Instruct on this card:
Llama 3.2 90B Vision Instruct needs ~58 GB but this GPU has 128 GB. Rent a A100 (80 GB)-class GPU by the hour instead of buying one:
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Other Llama 3.2 Family sizes on the Apple M4 Max
- Llama 3.2 11B Vision Instruct — runs (8.5 GB)
- Llama 3.2 3B Instruct — runs (3.7 GB)
- Llama 3.2 1B Instruct — runs (1.8 GB)
Llama 3.2 90B Vision Instruct on nearby hardware
- NVIDIA RTX PRO 6000 Blackwell (96 GB) — runs
All Llama 3.2 Family sizes on the Apple M4 Max | Llama 3.2 90B Vision Instruct model page | Apple M4 Max GPU page | VRAM calculator | Check your hardware