How much VRAM does Qwen 2.5 Coder 32B need?

Qwen 2.5 Coder 32B (32B parameters) requires approximately 30.9 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 2.5 Coder 32B?

The recommended quantization for Qwen 2.5 Coder 32B is Q4_K_M, which balances quality and memory efficiency.

Can it run?

Yes, MacBook Pro M3 Max 48GB can run Qwen 2.5 Coder 32B with a C grade (Tight fit). Expected decode speed: 12.3 tok/s.

CUsable

Tight fit

Using Q4_K_M in Ollama

Capabilities:

Fit status

Tight fit

Decode

12.3 tok/s

TTFT

15746 ms

Safe context

18K

Memory

30.9 GB / 34.6 GB

Weights19.5 GB

KV Cache5.0 GB

Runtime1.2 GB

Headroom5.2 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs with offload (needs ~0.7 GB host RAM)	12.2 tok/s	23164 ms	31K
Chat	C	Tight fit	12.3 tok/s	8589 ms	10K
Coding	C	Tight fit	12.3 tok/s	15746 ms	18K
RAG	C	Runs with offload (needs ~0.7 GB host RAM)	12.2 tok/s	28954 ms	31K
Reasoning	C	Tight fit	12.3 tok/s	18609 ms

How Qwen 2.5 Coder 32B (32B params) fits at each quantization level on MacBook Pro M3 Max 48GB (34.6 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	12.5 GB	Low	D37
Q3_K_S	3	15.7 GB	Low	D39
NVFP4	4

Ollama

ollama run qwen-2.5-coder-32b

HuggingFace

huggingface-cli download qwen-2.5-coder-32b

Upgrade options

Mac mini M4 64GBBudget pick

C4.4 tok/s decode

~$1,099 MSRP

MacBook Pro M4 Pro 64GBBest value

C10.8 tok/s decode

~$1,599 MSRP