Can I Run Llama 3.2 Vision on Apple M1 Ultra?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026
Yes, comfortably — Llama 3.2 Vision 90B at Q4_K_M needs 57.8 GB at 8K context (53.6 GB weights + 4.2 GB KV cache/overhead), leaving ~38.2 GB of the Apple M1 Ultra's 96 GB usable memory, at ~8 tok/s (est.), with room for up to 64K context.
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Apple M1 Ultra Specs
| VRAM | 128 GB unified memory |
| Memory Bandwidth | 800 GB/s |
Llama 3.2 Vision 90B on the Apple M1 Ultra: 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 M1 Ultra: 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.
No compatible GPU? Llama 3.2 Vision on 8 GB of system RAM, CPU only: runs.
Llama 3.2 Vision Sizes That Fit the Apple M1 Ultra (at 8K context)
| Llama 3.2 Vision 90B | Q4_K_M · 57.8 GB at 8K context · ~8 tok/s (est.) |
| Llama 3.2 Vision 11B | Q4_K_M · 8.5 GB at 8K context · ~52 tok/s (est.) |
Llama 3.2 Vision 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.
FAQ
Will Llama 3.2 Vision run on the Apple M1 Ultra?
Yes, comfortably — Llama 3.2 Vision 90B at Q4_K_M needs 57.8 GB at 8K context (53.6 GB weights + 4.2 GB KV cache/overhead), leaving ~38.2 GB of the Apple M1 Ultra's 96 GB usable memory, at ~8 tok/s (est.), with room for up to 64K context.
Which Llama 3.2 Vision variant fits best on the Apple M1 Ultra?
Llama 3.2 Vision 90B at Q4_K_M quantization needs 57.8 GB at 8K context (53.6 GB weights + 4.2 GB KV cache/overhead), estimated ~8 tokens/sec, up to 64K context.
Every Llama 3.2 Vision size on the Apple M1 Ultra
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Llama 3.2 Vision 90B | 57.8 GB | Runs | ~8 tok/s |
| Llama 3.2 Vision 11B | 8.5 GB | Runs | ~52 tok/s |
Llama 3.2 Vision on Other GPUs
- Llama 3.2 Vision on Apple M4 Max
- Llama 3.2 Vision on Apple M5 Max
- Llama 3.2 Vision on NVIDIA DGX Spark
- Llama 3.2 Vision on AMD Ryzen AI Max+ 395
Popular Models on the Apple M1 Ultra
VRAM Tier
Troubleshooting
Buying Guide
← Can I Run It? | Llama 3.2 Vision Model Page | Apple M1 Ultra GPU Page | VRAM calculator | Check Your Hardware