How much VRAM does Qwen2.5 3B Instruct need?

Qwen2.5 3B Instruct (3B parameters) requires approximately 4.2 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen2.5 3B Instruct?

The recommended quantization for Qwen2.5 3B Instruct is Q4_K_M, which balances quality and memory efficiency.

Can it run?

Yes, GTX 1650 4GB can run Qwen2.5 3B Instruct with a C grade (Runs with offload). Expected decode speed: 48.0 tok/s.

CUsable

Runs with offload

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs with offload

Decode

48.0 tok/s

TTFT

4031 ms

Safe context

15K

Memory

4.2 GB / 4.0 GB

Offload

10%

Weights1.8 GB

KV Cache0.8 GB

Runtime1.2 GB

Headroom0.4 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Very compromised	46.8 tok/s	6022 ms	29K
Chat	C	Runs with offload	48.0 tok/s	2198 ms	8K
Coding	C	Runs with offload	48.0 tok/s	4031 ms	15K
RAG	C	Very compromised	46.8 tok/s	7528 ms	29K
Reasoning	C	Runs with offload	48.0 tok/s	4763 ms	15K

How Qwen2.5 3B Instruct (3B params) fits at each quantization level on GTX 1650 4GB (4.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	1.2 GB	Low	D36
Q3_K_S	3	1.5 GB	Low	D37
NVFP4	4

Upgrade options

Intel Arc B580 12GBBudget pick

C119.6 tok/s decode

~$249 MSRP

RX 7600 8GBBest value

C91.3 tok/s decode

~$269 MSRP

RTX 2060 6GBNVIDIA upgrade

B104.7 tok/s decode

~$349 MSRP

GTX 1660 Super 6GBBiggest leap