What is the minimum hardware to run Llama 3.3 70B?

Apple M4 Max (64GB) is the lightest device that runs Llama 3.3 70B, using ~45.3 GB at Q4_K_M of its ~48 GB usable. Anything with less usable memory cannot load it.

How much memory does Llama 3.3 70B need?

At Q4_K_M it needs about 45.3 GB (weights ~42.52 GB + KV cache + overhead at 4k context). At Q8_0 budget ~77.8 GB.

Can I run Llama 3.3 70B on a Mac?

Yes. Llama 3.3 70B runs on Apple Silicon with enough unified memory; the ranked list below shows the lightest Mac that fits.

Can I run Llama 3.3 70B on a phone?

No. Llama 3.3 70B is too large for current phone memory at Q4_K_M; stick to a laptop, desktop GPU, or Mac.

Hardware guide · Llama

What hardware do you need to run Llama 3.3 70B?

Llama 3.3 70B needs about 45.3 GB to run at Q4_K_M, so the lightest hardware that runs it is Apple M4 Max (64GB). 5 of 40 devices tested can run it.

Needs (Q4_K_M): ~45.3 GB
Devices that run it: 5
Too small: 35
Lightest that runs it: ~48 GB

Recommended Q4_K_M

Apple M4 Max (128GB) Yes

Runs at Q4_K_M using ~45.3 GB of ~96 GB usable. You have room for Q8_0 for higher quality.

What kind of hardware runs Llama 3.3 70B

Of the 5 devices that run it, here is the split by hardware class.

1 discrete GPU 4 Macs

Hardware that runs Llama 3.3 70B

Ranked by usable memory, lightest first. Prices are approximate street prices for the device itself (a GPU is the card alone; a Mac is the whole machine). Tok/s is a bandwidth estimate; see methodology.

Compatible devices 5 total

Too small for Llama 3.3 70B

Apple M4 Pro (48GB) Apple M5 Pro (48GB) Nvidia GeForce RTX 5090 (32GB) 32GB RAM Laptop (CPU/iGPU only) Nvidia GeForce RTX 4090 (24GB) Nvidia GeForce RTX 3090 (24GB) AMD Radeon RX 7900 XTX (24GB) Apple M5 (32GB) Apple M4 (24GB) Apple M4 Pro (24GB) Nvidia GeForce RTX 4060 Ti (16GB) Nvidia GeForce RTX 4080 (16GB) Apple M3 Pro (18GB) 16GB RAM Laptop (CPU/iGPU only) iPad Pro M4 (16GB, 1TB/2TB config) Samsung Galaxy S25 Ultra (16GB, 1TB config only) Samsung Galaxy S26 Ultra (16GB, 1TB config) Nvidia GeForce RTX 3060 (12GB) Nvidia GeForce RTX 4070 (12GB) Apple M2 (16GB) Apple M4 (16GB) Google Pixel 9 Pro Apple M5 (16GB) Google Pixel 10 Pro Samsung Galaxy S24 Ultra Generic Android Phone (12GB RAM) iPhone 17 Pro iPhone Air Apple M1 (8GB) 8GB RAM Laptop (CPU/iGPU only) iPhone 15 Pro iPhone 16 iPhone 16 Pro Generic Android Phone (8GB RAM) iPhone 17

See the full Llama 3.3 70B memory breakdown, or compare it against other models.

Sources

Memory at Q4_K_M (45.3 GB = 42.52 GB weights + KV cache + overhead), validated 2026-08-03. See methodology.