How much VRAM does Gemma 2 2B need?

Gemma 2 2B (2B parameters) requires approximately 4.4 GB of memory with Q4_K_M quantization.

What is the best quantization for Gemma 2 2B?

The recommended quantization for Gemma 2 2B is Q4_K_M, which balances quality and memory efficiency.

Can it run?

Yes, Intel Arc B580 12GB can run Gemma 2 2B with a C grade (Runs well). Expected decode speed: 269.1 tok/s.

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

269.1 tok/s

TTFT

719 ms

Safe context

Memory

4.4 GB / 12.0 GB

Weights1.2 GB

KV Cache0.8 GB

Runtime1.2 GB

Headroom1.2 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	179.4 tok/s	1570 ms	8K
Chat	C	Runs well	179.4 tok/s	589 ms	8K
Coding	C	Runs well	269.1 tok/s	719 ms	8K
RAG	C	Runs well	179.4 tok/s	1962 ms	8K
Reasoning	C	Runs well	179.4 tok/s	1275 ms	8K

How Gemma 2 2B (2B params) fits at each quantization level on Intel Arc B580 12GB (12.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	0.8 GB	Low	D30
Q3_K_S	3	1.0 GB	Low	D30
NVFP4	4

Ollama

ollama run gemma-2-2b

HuggingFace

huggingface-cli download gemma-2-2b

Upgrade options

MacBook Pro M3 Pro 18GBBudget pick

C89.8 tok/s decode

~$1,999 MSRP