How much VRAM does Qwen 2.5 Coder 32B need?

Qwen 2.5 Coder 32B (32B parameters) requires approximately 28.9 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, RTX 5000 Ada 32GB can run Qwen 2.5 Coder 32B with a C grade (Tight fit). Expected decode speed: 21.2 tok/s.

CUsable

Tight fit

Using Q4_K_M in Ollama

Capabilities:

Fit status

Tight fit

Decode

21.2 tok/s

TTFT

9112 ms

Safe context

18K

Memory

28.9 GB / 32.0 GB

Weights19.5 GB

KV Cache5.0 GB

Runtime1.2 GB

Headroom3.2 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	D	Runs with offload (needs ~1.1 GB host RAM)	22.5 tok/s	12532 ms	30K
Chat	C	Tight fit	23.6 tok/s	4473 ms	10K
Coding	C	Tight fit	21.2 tok/s	9112 ms	18K
RAG	D	Runs with offload (needs ~1.1 GB host RAM)	22.5 tok/s	15665 ms	30K
Reasoning	C	Tight fit	23.6 tok/s	9692 ms

How Qwen 2.5 Coder 32B (32B params) fits at each quantization level on RTX 5000 Ada 32GB (32.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	12.5 GB	Low	D38
Q3_K_S	3	15.7 GB	Low	D40
NVFP4	4

Ollama

ollama run qwen-2.5-coder-32b

HuggingFace

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

Upgrade options

MacBook Pro M4 Pro 64GBBudget pick

C10.8 tok/s decode

~$1,599 MSRP

MacBook Pro M3 Max 64GBBest value

C12.3 tok/s decode

~$2,499 MSRP

NVIDIA A100 40GBBiggest leap