How much VRAM does Llama 3.3 70B need?

Llama 3.3 70B (70B parameters) requires approximately 67.6 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?

Yes, Intel Data Center GPU Max 1550 128GB can run Llama 3.3 70B with a C grade (Runs well). Expected decode speed: 54.0 tok/s.

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

54.0 tok/s

TTFT

3588 ms

Safe context

30K

Memory

67.6 GB / 128.0 GB

Weights42.7 GB

KV Cache10.9 GB

Runtime1.2 GB

Headroom12.8 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	47.2 tok/s	5964 ms	52K
Chat	C	Runs well	47.2 tok/s	2237 ms	16K
Coding	C	Runs well	54.0 tok/s	3588 ms	30K
RAG	C	Runs well	47.2 tok/s	7456 ms	52K
Reasoning	C	Runs well	47.2 tok/s	4846 ms	30K

How Llama 3.3 70B (70B params) fits at each quantization level on Intel Data Center GPU Max 1550 128GB (128.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	27.3 GB	Low	D34
Q3_K_S	3	34.3 GB	Low	D35
NVFP4	4

Ollama

ollama run llama-3.3-70b

HuggingFace

huggingface-cli download llama-3.3-70b

Upgrade options

NVIDIA H200 141GBBudget pick

C94.4 tok/s decode

~$30,000 MSRP

NVIDIA H200 PCIe 141GBBest value

C94.4 tok/s decode

~$30,000 MSRP