How much VRAM does gemma 2b need?

gemma 2b (2B parameters) requires approximately 9.6 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, NVIDIA A16 64GB can run gemma 2b with a C grade (Runs well). Expected decode speed: 354.1 tok/s.

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

354.1 tok/s

TTFT

547 ms

Safe context

106K

Memory

9.6 GB / 64.0 GB

Weights1.2 GB

KV Cache0.8 GB

Runtime1.2 GB

Headroom6.4 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	383.6 tok/s	734 ms	213K
Chat	C	Runs well	383.6 tok/s	350 ms	53K
Coding	C	Runs well	354.1 tok/s	547 ms	106K
RAG	C	Runs well	383.6 tok/s	918 ms	213K
Reasoning	C	Runs well	383.6 tok/s	596 ms	106K

How gemma 2b (2B params) fits at each quantization level on NVIDIA A16 64GB (64.0 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

Upgrade options

MacBook Pro M4 Max 96GBBudget pick

C282 tok/s decode

~$2,499 MSRP

MacBook Pro M3 Max 128GBBest value

C196.7 tok/s decode

~$2,499 MSRP