Question 1

Can NVIDIA A100 40GB run Meta Llama 3 8B Instruct?

Accepted Answer

Yes, NVIDIA A100 40GB can run Meta Llama 3 8B Instruct with a C grade (Runs well). Expected decode speed: 229.4 tok/s.

Question 2

How much VRAM does Meta Llama 3 8B Instruct need?

Accepted Answer

Meta Llama 3 8B Instruct (8B parameters) requires approximately 11.3 GB of memory with Q4_K_M quantization.

Question 3

What is the best quantization for Meta Llama 3 8B Instruct?

Accepted Answer

The recommended quantization for Meta Llama 3 8B Instruct is Q4_K_M, which balances quality and memory efficiency.

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	229.4 tok/s	1227 ms	102K
Chat	C	Runs well	229.4 tok/s	460 ms	29K
Coding	C	Runs well	229.4 tok/s	844 ms	56K
RAG	C	Runs well	229.4 tok/s	1534 ms	102K
Reasoning	C	Runs well	229.4 tok/s	997 ms	56K

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.1 GB	Low	D31
Q3_K_S	3	3.9 GB	Low	D31
NVFP4	4

Can NVIDIA A100 40GB run Meta Llama 3 8B Instruct?

Memory breakdown