Question 1

Can RTX 4000 Ada 20GB run Meta Llama 3.1 8B Instruct?

Accepted Answer

Yes, RTX 4000 Ada 20GB can run Meta Llama 3.1 8B Instruct with a C grade (Runs well). Expected decode speed: 53.1 tok/s.

Question 2

How much VRAM does Meta Llama 3.1 8B Instruct need?

Accepted Answer

Meta Llama 3.1 8B Instruct (8B parameters) requires approximately 9.3 GB of memory with Q4_K_M quantization.

Question 3

What is the best quantization for Meta Llama 3.1 8B Instruct?

Accepted Answer

The recommended quantization for Meta Llama 3.1 8B Instruct is Q4_K_M, which balances quality and memory efficiency.

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	57.5 tok/s	4894 ms	60K
Chat	C	Runs well	57.5 tok/s	1835 ms	18K
Coding	C	Runs well	53.1 tok/s	3645 ms	34K
RAG	C	Runs well	57.5 tok/s	6117 ms	60K
Reasoning	C	Runs well	57.5 tok/s	3976 ms	34K

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.1 GB	Low	D33
Q3_K_S	3	3.9 GB	Low	D34
NVFP4	4

Can RTX 4000 Ada 20GB run Meta Llama 3.1 8B Instruct?

Memory breakdown