How much VRAM does Qwen 2.5 Coder 32B need?

Qwen 2.5 Coder 32B (32B parameters) requires approximately 27.3 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?

No, Qwen 2.5 Coder 32B requires more memory than RTX 4090 Laptop 16GB provides.

FWon't run

Too heavy

Using Q4_K_M in Ollama

Capabilities:

Fit status

Too heavy

Decode

21.2 tok/s

TTFT

9112 ms

Safe context

Memory

27.3 GB / 16.0 GB

Weights19.5 GB

KV Cache5.0 GB

Runtime1.2 GB

Headroom1.6 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	F	Too heavy	23.6 tok/s	11929 ms	16K
Chat	F	Too heavy	23.6 tok/s	4473 ms	5K
Coding	F	Too heavy	21.2 tok/s	9112 ms	9K
RAG	F	Too heavy	23.6 tok/s	14911 ms	16K
Reasoning	F	Too heavy	23.6 tok/s	9692 ms	9K

How Qwen 2.5 Coder 32B (32B params) fits at each quantization level on RTX 4090 Laptop 16GB (16.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	12.5 GB	Low	C44
Q3_K_S	3	15.7 GB	Low	C44
NVFP4	4

Upgrade options

RX 7900 XTX 24GBBest value

C31 tok/s decode

~$999 MSRP

Mac mini M4 64GBBudget pick

C4.4 tok/s decode

~$1,099 MSRP

NVIDIA A100 40GBBiggest leap