Question 1

Can NVIDIA H100 PCIe 80GB run Meta Llama 3.1 8B Instruct?

Accepted Answer

Yes, NVIDIA H100 PCIe 80GB can run Meta Llama 3.1 8B Instruct with a C grade (Runs well). Expected decode speed: 344.3 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 15.3 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	344.3 tok/s	818 ms	154K
Chat	C	Runs well	344.3 tok/s	350 ms	43K
Coding	C	Runs well	344.3 tok/s	562 ms	83K
RAG	C	Runs well	344.3 tok/s	1022 ms	154K
Reasoning	C	Runs well	344.3 tok/s	665 ms	83K

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.1 GB	Low	D30
Q3_K_S	3	3.9 GB	Low	D31
NVFP4	4

Can NVIDIA H100 PCIe 80GB run Meta Llama 3.1 8B Instruct?

Memory breakdown