Question 1

Can RTX 4000 Ada 20GB run Qwen2.5 1.5B Instruct?

Accepted Answer

Yes, RTX 4000 Ada 20GB can run Qwen2.5 1.5B Instruct with a C grade (Runs well). Expected decode speed: 280.8 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 4.9 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	280.8 tok/s	1003 ms	130K
Chat	C	Runs well	280.8 tok/s	376 ms	33K
Coding	C	Runs well	280.8 tok/s	689 ms	65K
RAG	C	Runs well	280.8 tok/s	1254 ms	130K
Reasoning	C	Runs well	280.8 tok/s	815 ms	65K

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 4000 Ada 20GB run Qwen2.5 1.5B Instruct?

Memory breakdown