Question 1

Can RTX 4090 Laptop 16GB run Qwen2.5 1.5B Instruct?

Accepted Answer

Yes, RTX 4090 Laptop 16GB can run Qwen2.5 1.5B Instruct with a C grade (Runs well). Expected decode speed: 414.7 tok/s.

Question 2

How much VRAM does Qwen2.5 1.5B Instruct need?

Accepted Answer

Qwen2.5 1.5B Instruct (1.5B parameters) requires approximately 4.5 GB of memory with Q4_K_M quantization.

Question 3

What is the best quantization for Qwen2.5 1.5B Instruct?

Accepted Answer

The recommended quantization for Qwen2.5 1.5B Instruct is Q4_K_M, which balances quality and memory efficiency.

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	460.8 tok/s	611 ms	113K
Chat	C	Runs well	460.8 tok/s	350 ms	28K
Coding	C	Runs well	414.7 tok/s	467 ms	57K
RAG	C	Runs well	460.8 tok/s	764 ms	113K
Reasoning	C	Runs well	460.8 tok/s	497 ms	57K

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	0.6 GB	Low	D30
Q3_K_S	3	0.7 GB	Low	D30
NVFP4	4

Can RTX 4090 Laptop 16GB run Qwen2.5 1.5B Instruct?

Memory breakdown