How much VRAM does Llama 2 7B Chat need?

Llama 2 7B Chat (7B parameters) requires approximately 10.6 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, NVIDIA A100 40GB can run Llama 2 7B Chat with a C grade (Runs well). Expected decode speed: 262.2 tok/s.

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

262.2 tok/s

TTFT

738 ms

Safe context

61K

Memory

10.6 GB / 40.0 GB

Weights4.3 GB

KV Cache1.1 GB

Runtime1.2 GB

Headroom4.0 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	305.9 tok/s	921 ms	110K
Chat	C	Runs well	305.9 tok/s	350 ms	31K
Coding	C	Runs well	262.2 tok/s	738 ms	61K
RAG	C	Runs well	305.9 tok/s	1151 ms	110K
Reasoning	C	Runs well	305.9 tok/s	748 ms	61K

How Llama 2 7B Chat (7B params) fits at each quantization level on NVIDIA A100 40GB (40.0 GB usable).

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

Upgrade options

Mac Studio M1 Ultra 64GBBudget pick

C103 tok/s decode

~$3,999 MSRP

Mac Studio M2 Ultra 64GBBest value

C108.7 tok/s decode

~$3,999 MSRP