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

Qwen3-Coder 30B A3B Instruct (30.5B parameters) requires approximately 24.1 GB of memory with Q4_K_M quantization.

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

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

Can it run?

Yes, MacBook Pro M2 Pro 32GB can run Qwen3-Coder 30B A3B Instruct with a C grade (Runs with offload). Expected decode speed: 17.8 tok/s.

CUsable

Runs with offload

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs with offload

Decode

17.8 tok/s

TTFT

10849 ms

Safe context

15K

Memory

24.1 GB / 23.0 GB

Weights18.6 GB

KV Cache0.8 GB

Runtime1.2 GB

Headroom3.5 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	D	Runs with offload (needs ~1 GB host RAM)	19.2 tok/s	14693 ms	30K
Chat	C	Runs with offload (needs ~0.8 GB host RAM)	19.2 tok/s	5495 ms	8K
Coding	C	Runs with offload	17.8 tok/s	10849 ms	15K
RAG	D	Runs with offload (needs ~1 GB host RAM)	19.2 tok/s	18367 ms	30K
Reasoning	C	Runs with offload (needs ~0.8 GB host RAM)	19.2 tok/s

How Qwen3-Coder 30B A3B Instruct (30.5B params) fits at each quantization level on MacBook Pro M2 Pro 32GB (23.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	11.9 GB	Low	C41
Q3_K_S	3	14.9 GB	Low	C43
NVFP4Best for your GPU

Ollama

ollama run qwen-3-coder-30b-a3b

HuggingFace

huggingface-cli download qwen-3-coder-30b-a3b

Upgrade options

RX 7900 XTX 24GBBest value

C96.1 tok/s decode

~$999 MSRP

MacBook Pro M4 Pro 64GBBudget pick

C29.2 tok/s decode

~$1,599 MSRP