Question 1

Can RTX 5090 Laptop 24GB run Llama 3.2 3B Instruct?

Accepted Answer

Yes, RTX 5090 Laptop 24GB can run Llama 3.2 3B Instruct with a C grade (Runs well). Expected decode speed: 304.6 tok/s.

Question 2

How much VRAM does Llama 3.2 3B Instruct need?

Accepted Answer

Llama 3.2 3B Instruct (3B parameters) requires approximately 6.6 GB of memory with Q5_K_M quantization.

Question 3

What is the best quantization for Llama 3.2 3B Instruct?

Accepted Answer

The recommended quantization for Llama 3.2 3B Instruct is Q5_K_M, which balances quality and memory efficiency.

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	355.4 tok/s	792 ms	115K
Chat	C	Runs well	355.4 tok/s	350 ms	29K
Coding	C	Runs well	304.6 tok/s	636 ms	59K
RAG	C	Runs well	355.4 tok/s	990 ms	115K
Reasoning	C	Runs well	355.4 tok/s	644 ms	59K

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	1.2 GB	Low	D31
Q3_K_S	3	1.5 GB	Low	D31
NVFP4	4

Can RTX 5090 Laptop 24GB run Llama 3.2 3B Instruct?

Memory breakdown