Home / Can I run it? / Llama 3.3 70B / Llama 3.3 70B on a Mac mini 64GB

No. Llama 3.3 70B at Q4_K_M needs about 50.2 GB, and the Mac mini M5 Pro 64GB has 48.0 GB usable at a ~4k context.

Can I run Llama 3.3 70B on a Mac mini 64GB?

Llama 3.3 70B at Q4_K_M needs about 50.2 GB, and the Mac mini M5 Pro 64GB has 48.0 GB usable. That figure is 64 GB of unified memory on the spec sheet, of which 48.0 GB is usable for weights and cache, at 307 GB/s memory bandwidth. Meta’s flagship 70B instruct model, the usual target for a high-end local chat box. These are estimates from our formula, not measured benchmarks.

Quant that fits

None of Q4, Q8 or FP16 needs 50.2 GB

Memory needed

50.2 GB at Q4_K_M, ~4k context

Usable unified memory

48.0 GB of 64 GB unified memory

Est. tokens/sec

n/a does not fit

Llama-3.3-70B-Instruct · Mac mini M5 Pro 64GB · Everything this machine runs · Q4 vs Q8 vs FP16

Memory at each quant

Estimated tokens per second

No speed estimate: Llama 3.3 70B does not fit in the 48.0 GB this machine can use, so we do not publish a tokens/sec figure for CPU offload.

Context headroom

Even at a short ~4k context, the weights do not fit. Extending context would only increase the gap.

From the model’s config. Try other sizes in the VRAM calculator or see the context length guide.

What to do instead

• Run R1 Distill 32B instead (23.8 GB at Q4). It is a different model, not a drop-in, but it does fit this machine.
• To hold Llama 3.3 70B at Q4, you need about 50.2 GB. The MacBook Pro M5 Max 128GB has 96.0 GB usable ($6699 Apple list price, 14-inch M5 Max 18C CPU/40C GPU, 128GB/2TB).
• Our estimate is only 2.2 GB over this machine’s usable memory, so a tighter quant or a shorter context may work in practice. We still mark it as a no under the published formula.
• CPU offload can load the weights anyway, but it is slow. We do not publish an offload tokens/sec figure.
• See the best GPU for this model family and the Llama-3.3-70B-Instruct model page.

Other hardware for Llama 3.3 70B

• Llama 3.3 70B on an RTX 3060 12GBWon’t fit
• Llama 3.3 70B on an RTX 3070 TiWon’t fit
• Llama 3.3 70B on an RTX 3080Won’t fit
• Llama 3.3 70B on an RTX 3090Won’t fit
• Llama 3.3 70B on an RTX 4060 Ti 16GBWon’t fit
• Llama 3.3 70B on an RTX 4070 Ti SuperWon’t fit

Other models on a Mac mini 64GB

• R1 Distill 70B on a Mac mini 64GBWon’t fit
• gpt-oss-120b on a Mac mini 64GBWon’t fit
• Qwen3-235B on a Mac mini 64GBWon’t fit
• Mixtral 8x22B on a Mac mini 64GBWon’t fit
• GLM-4.5-Air on a Mac mini 64GBWon’t fit