How much VRAM does gemma 2b need?

gemma 2b (2B parameters) requires approximately 6.4 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 5000 Ada 32GB can run gemma 2b with a C grade (Runs well). Expected decode speed: 339.9 tok/s.

CUsable

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

339.9 tok/s

TTFT

570 ms

Safe context

80K

Memory

6.4 GB / 32.0 GB

Weights1.2 GB

KV Cache0.8 GB

Runtime1.2 GB

Headroom3.2 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	377.7 tok/s	746 ms	160K
Chat	C	Runs well	377.7 tok/s	350 ms	40K
Coding	C	Runs well	339.9 tok/s	570 ms	80K
RAG	C	Runs well	377.7 tok/s	932 ms	160K
Reasoning	C	Runs well	377.7 tok/s	606 ms	80K

How gemma 2b (2B params) fits at each quantization level on RTX 5000 Ada 32GB (32.0 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 Pro 64GBBudget pick

C172.3 tok/s decode

~$1,599 MSRP

MacBook Pro M3 Max 48GBBest value

C196.7 tok/s decode

~$2,499 MSRP