Question 1

Can RTX 3080 10GB run Meta Llama 3.1 8B Instruct?

Accepted Answer

Yes, RTX 3080 10GB can run Meta Llama 3.1 8B Instruct with a C grade (Tight fit). Expected decode speed: 112.1 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 8.3 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 with offload	112.1 tok/s	2511 ms	33K
Chat	B	Runs well	112.1 tok/s	942 ms	10K
Coding	C	Tight fit	112.1 tok/s	1727 ms	19K
RAG	C	Runs with offload	112.1 tok/s	3139 ms	33K
Reasoning	C	Tight fit	112.1 tok/s	2040 ms	19K

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.1 GB	Low	D36
Q3_K_S	3	3.9 GB	Low	D38
NVFP4	4

Can RTX 3080 10GB run Meta Llama 3.1 8B Instruct?

Memory breakdown