How much VRAM does gemma 2b need?

gemma 2b (2B parameters) requires approximately 5.2 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 4000 Ada 20GB can run gemma 2b with a C grade (Runs well). Expected decode speed: 212.5 tok/s.

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

212.5 tok/s

TTFT

911 ms

Safe context

61K

Memory

5.2 GB / 20.0 GB

Weights1.2 GB

KV Cache0.8 GB

Runtime1.2 GB

Headroom2.0 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	230.2 tok/s	1223 ms	123K
Chat	C	Runs well	230.2 tok/s	459 ms	31K
Coding	C	Runs well	212.5 tok/s	911 ms	61K
RAG	C	Runs well	230.2 tok/s	1529 ms	123K
Reasoning	C	Runs well	230.2 tok/s	994 ms	61K

How gemma 2b (2B params) fits at each quantization level on RTX 4000 Ada 20GB (20.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	0.8 GB	Low	D30
Q3_K_S	3	1.0 GB	Low	D31
NVFP4	4

Upgrade options

MacBook Pro M1 Pro 32GBBudget pick

C106.6 tok/s decode

~$1,999 MSRP

MacBook Pro M2 Max 32GBBest value

C190.2 tok/s decode

~$1,999 MSRP