How much VRAM does Qwen3-VL 30B A3B Instruct need?

Qwen3-VL 30B A3B Instruct (30B parameters) requires approximately 24.1 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen3-VL 30B A3B Instruct?

The recommended quantization for Qwen3-VL 30B A3B Instruct is Q4_K_M, which balances quality and memory efficiency.

Can it run?

No, Qwen3-VL 30B A3B Instruct requires more memory than MacBook Air M3 24GB provides.

FWon't run

Too heavy

Using Q4_K_M in vLLM

Capabilities:

Fit status

Too heavy

Decode

9.3 tok/s

TTFT

20712 ms

Safe context

11K

Memory

24.1 GB / 17.3 GB

Weights18.3 GB

KV Cache0.8 GB

Runtime2.4 GB

Headroom2.6 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	F	Too heavy	9.8 tok/s	28798 ms	23K
Chat	F	Too heavy	9.8 tok/s	10799 ms	6K
Coding	F	Too heavy	9.3 tok/s	20712 ms	11K
RAG	F	Too heavy	9.8 tok/s	35997 ms	23K
Reasoning	F	Too heavy	9.8 tok/s	23398 ms	11K

How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on MacBook Air M3 24GB (17.3 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_KBest for your GPU	2	11.7 GB	Low	C44
Q3_K_S	3	14.7 GB	Low	C45

Upgrade options

RX 7900 XTX 24GBBest value

C99.4 tok/s decode

~$999 MSRP

Mac mini M4 64GBBudget pick

C12.4 tok/s decode

~$1,099 MSRP