Question 1

Can RTX 5000 Ada 32GB run Meta Llama 3.1 8B Instruct?

Accepted Answer

Yes, RTX 5000 Ada 32GB can run Meta Llama 3.1 8B Instruct with a C grade (Runs well). Expected decode speed: 85.0 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 10.5 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	94.4 tok/s	2982 ms	87K
Chat	C	Runs well	94.4 tok/s	1118 ms	25K
Coding	C	Runs well	85.0 tok/s	2278 ms	49K
RAG	C	Runs well	94.4 tok/s	3728 ms	87K
Reasoning	C	Runs well	94.4 tok/s	2423 ms	49K

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.1 GB	Low	D32
Q3_K_S	3	3.9 GB	Low	D32
NVFP4	4

Can RTX 5000 Ada 32GB run Meta Llama 3.1 8B Instruct?

Memory breakdown