How much VRAM does gemma 2b need?

gemma 2b (2B parameters) requires approximately 12.8 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, NVIDIA H20 96GB can run gemma 2b with a C grade (Runs well). Expected decode speed: 2360.7 tok/s.

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

2360.7 tok/s

TTFT

350 ms

Safe context

120K

Memory

12.8 GB / 96.0 GB

Weights1.2 GB

KV Cache0.8 GB

Runtime1.2 GB

Headroom9.6 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	2655.7 tok/s	350 ms	240K
Chat	C	Runs well	2655.7 tok/s	350 ms	60K
Coding	C	Runs well	2360.7 tok/s	350 ms	120K
RAG	C	Runs well	2655.7 tok/s	350 ms	240K
Reasoning	C	Runs well	2655.7 tok/s	350 ms	120K

How gemma 2b (2B params) fits at each quantization level on NVIDIA H20 96GB (96.0 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

Mac Studio M3 Ultra 256GBBudget pick

C456.5 tok/s decode