How much VRAM does Qwen 2.5 Coder 1.5B need?

Qwen 2.5 Coder 1.5B (1.5B parameters) requires approximately 3.3 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 2.5 Coder 1.5B?

The recommended quantization for Qwen 2.5 Coder 1.5B is Q4_K_M, which balances quality and memory efficiency.

Can it run?

Yes, Intel Arc A370M 4GB can run Qwen 2.5 Coder 1.5B with a C grade (Tight fit). Expected decode speed: 80.6 tok/s.

CUsable

Tight fit

Using Q4_K_M in Ollama

Capabilities:

Fit status

Tight fit

Decode

80.6 tok/s

TTFT

2401 ms

Safe context

19K

Memory

3.3 GB / 4.0 GB

Weights0.9 GB

KV Cache0.8 GB

Runtime1.2 GB

Headroom0.4 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Tight fit	54.9 tok/s	5131 ms	33K
Chat	C	Tight fit	54.9 tok/s	1924 ms	10K
Coding	C	Tight fit	80.6 tok/s	2401 ms	19K
RAG	C	Tight fit	54.9 tok/s	6414 ms	33K
Reasoning	C	Tight fit	54.9 tok/s	4169 ms	19K

How Qwen 2.5 Coder 1.5B (1.5B params) fits at each quantization level on Intel Arc A370M 4GB (4.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	0.6 GB	Low	D32
Q3_K_S	3	0.7 GB	Low	D32
NVFP4	4

Ollama

ollama run qwen-2.5-coder-1.5b

HuggingFace

huggingface-cli download qwen-2.5-coder-1.5b

Upgrade options

RTX 2060 6GBBudget pick

C191.5 tok/s decode

~$349 MSRP

Intel Arc A380 6GBBiggest leap

C91.1 tok/s decode

Intel Arc Pro A40 6GBIntel upgrade

C94.1 tok/s decode