Question 1

Can RTX 5090 Laptop 24GB run Meta Llama 3.1 8B Instruct?

Accepted Answer

Yes, RTX 5090 Laptop 24GB can run Meta Llama 3.1 8B Instruct with a C grade (Runs well). Expected decode speed: 132.2 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 9.7 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	132.2 tok/s	2130 ms	70K
Chat	C	Runs well	132.2 tok/s	799 ms	21K
Coding	C	Runs well	132.2 tok/s	1464 ms	39K
RAG	C	Runs well	132.2 tok/s	2663 ms	70K
Reasoning	C	Runs well	132.2 tok/s	1731 ms	39K

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.1 GB	Low	D32
Q3_K_S	3	3.9 GB	Low	D33
NVFP4	4

Can RTX 5090 Laptop 24GB run Meta Llama 3.1 8B Instruct?

Memory breakdown