How much VRAM does gemma 2b need?

gemma 2b (2B parameters) requires approximately 4.8 GB of memory with Q4_K_M quantization.

What is the best quantization for gemma 2b?

The recommended quantization for gemma 2b is Q4_K_M, which balances quality and memory efficiency.

Can it run?

Yes, RTX 4080 Super 16GB can run gemma 2b with a C grade (Runs well). Expected decode speed: 434.4 tok/s.

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

434.4 tok/s

TTFT

446 ms

Safe context

53K

Memory

4.8 GB / 16.0 GB

Weights1.2 GB

KV Cache0.8 GB

Runtime1.2 GB

Headroom1.6 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	434.4 tok/s	648 ms	106K
Chat	C	Runs well	434.4 tok/s	350 ms	27K
Coding	C	Runs well	434.4 tok/s	446 ms	53K
RAG	C	Runs well	434.4 tok/s	810 ms	106K
Reasoning	C	Runs well	434.4 tok/s	527 ms	53K

How gemma 2b (2B params) fits at each quantization level on RTX 4080 Super 16GB (16.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	0.8 GB	Low	D31
Q3_K_S	3	1.0 GB	Low	D31
NVFP4	4

Upgrade options

MacBook Pro M4 Pro 24GBBudget pick

C172.3 tok/s decode

~$1,999 MSRP