How much VRAM does Llama 2 7B Chat need?

Llama 2 7B Chat (7B parameters) requires approximately 16.9 GB of memory with Q4_K_M quantization.

What is the best quantization for Llama 2 7B Chat?

The recommended quantization for Llama 2 7B Chat is Q4_K_M, which balances quality and memory efficiency.

Can it run?

Yes, MacBook Pro M2 Max 96GB can run Llama 2 7B Chat with a C grade (Runs well). Expected decode speed: 60.9 tok/s.

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

60.9 tok/s

TTFT

3180 ms

Safe context

65K

Memory

16.9 GB / 69.1 GB

Weights4.3 GB

KV Cache1.1 GB

Runtime1.2 GB

Headroom10.4 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	54.3 tok/s	5183 ms	123K
Chat	C	Runs well	54.3 tok/s	1944 ms	33K
Coding	C	Runs well	60.9 tok/s	3180 ms	65K
RAG	C	Runs well	54.3 tok/s	6479 ms	123K
Reasoning	C	Runs well	54.3 tok/s	4211 ms	65K

How Llama 2 7B Chat (7B params) fits at each quantization level on MacBook Pro M2 Max 96GB (69.1 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	2.7 GB	Low	D30
Q3_K_S	3	3.4 GB	Low	D31
NVFP4	4

Upgrade options

Mac Studio M1 Ultra 128GBBudget pick

C103 tok/s decode

~$3,999 MSRP

Mac Studio M2 Ultra 128GBBest value

C108.7 tok/s decode

~$3,999 MSRP