How much VRAM does Qwen 2.5 Coder 32B need?

Qwen 2.5 Coder 32B (32B parameters) requires approximately 28.1 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, RTX 3090 24GB can run Qwen 2.5 Coder 32B with a C grade (Very compromised (needs ~2.9 GB host RAM)). Expected decode speed: 29.4 tok/s.

CUsable

Very compromised (needs ~2.9 GB host RAM)

Using Q4_K_M in Ollama

Capabilities:

Fit status

Very compromised (needs ~2.9 GB host RAM)

Decode

29.4 tok/s

TTFT

6588 ms

Safe context

14K

Memory

28.1 GB / 24.0 GB

Offload

10%

Weights19.5 GB

KV Cache5.0 GB

Runtime1.2 GB

Headroom2.4 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	F	Too heavy	33.6 tok/s	8390 ms	23K
Chat	C	Runs with offload (needs ~1.2 GB host RAM)	31.8 tok/s	3325 ms	7K
Coding	C	Very compromised (needs ~2.9 GB host RAM)	29.4 tok/s	6588 ms	14K
RAG	F	Too heavy	33.6 tok/s	10487 ms	23K
Reasoning	C	Very compromised (needs ~2.9 GB host RAM)	29.4 tok/s	7786 ms

How Qwen 2.5 Coder 32B (32B params) fits at each quantization level on RTX 3090 24GB (24.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	12.5 GB	Low	C41
Q3_K_S	3	15.7 GB	Low	C43
NVFP4Best for your GPU

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

NVIDIA A100 40GBBiggest leap