How much VRAM does Llama 3.3 70B need?

Llama 3.3 70B (70B parameters) requires approximately 61.7 GB of memory with Q4_K_M quantization.

What is the best quantization for Llama 3.3 70B?

The recommended quantization for Llama 3.3 70B is Q4_K_M, which balances quality and memory efficiency.

Can it run?

No, Llama 3.3 70B requires more memory than Mac Studio M2 Ultra 64GB provides.

FWon't run

Too heavy

Using Q4_K_M in Ollama

Capabilities:

Fit status

Too heavy

Decode

12.2 tok/s

TTFT

15898 ms

Safe context

12K

Memory

61.7 GB / 46.1 GB

Weights42.7 GB

KV Cache10.9 GB

Runtime1.2 GB

Headroom6.9 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	F	Too heavy	12.2 tok/s	23124 ms	20K
Chat	F	Too heavy	12.2 tok/s	8671 ms	7K
Coding	F	Too heavy	12.2 tok/s	15898 ms	12K
RAG	F	Too heavy	12.2 tok/s	28905 ms	20K
Reasoning	F	Too heavy	12.2 tok/s	18788 ms	12K

How Llama 3.3 70B (70B params) fits at each quantization level on Mac Studio M2 Ultra 64GB (46.1 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	27.3 GB	Low	C42
Q3_K_SBest for your GPU	3	34.3 GB	Low	C44

Upgrade options

MacBook Pro M3 Max 128GBBudget pick

C5.6 tok/s decode

~$2,499 MSRP

MacBook Pro M4 Max 96GBBest value

C8.1 tok/s decode

~$2,499 MSRP