How much VRAM does gemma 2b need?

gemma 2b (2B parameters) requires approximately 3.6 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, RTX 3050 Ti Laptop 4GB can run gemma 2b with a C grade (Tight fit). Expected decode speed: 122.8 tok/s.

CUsable

Tight fit

Using Q4_K_M in Ollama

Capabilities:

Fit status

Tight fit

Decode

122.8 tok/s

TTFT

1577 ms

Safe context

18K

Memory

3.6 GB / 4.0 GB

Weights1.2 GB

KV Cache0.8 GB

Runtime1.2 GB

Headroom0.4 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Tight fit	122.8 tok/s	2294 ms	35K
Chat	C	Tight fit	122.8 tok/s	860 ms	9K
Coding	C	Tight fit	122.8 tok/s	1577 ms	18K
RAG	C	Tight fit	122.8 tok/s	2868 ms	35K
Reasoning	C	Tight fit	122.8 tok/s	1864 ms	18K

How gemma 2b (2B params) fits at each quantization level on RTX 3050 Ti Laptop 4GB (4.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	0.8 GB	Low	D34
Q3_K_S	3	1.0 GB	Low	D35
NVFP4	4

Upgrade options

RTX 2060 6GBBudget pick

B157 tok/s decode

~$349 MSRP

GTX 1060 6GBBiggest leap

B92.9 tok/s decode

GTX 1660 Super 6GBNVIDIA upgrade

B151.5 tok/s decode