How much VRAM does Gemma 3 4B need?

Gemma 3 4B (4B parameters) requires approximately 5.0 GB of memory with Q4_K_M quantization.

What is the best quantization for Gemma 3 4B?

The recommended quantization for Gemma 3 4B is Q4_K_M, which balances quality and memory efficiency.

Can it run?

Can RTX 2060 6GB run Gemma 3 4B?

Q: Can RTX 2060 6GB run Gemma 3 4B?

Yes, RTX 2060 6GB can run Gemma 3 4B with a C grade (Tight fit). Expected decode speed: 99.1 tok/s.

CUsable

Tight fit

Using Q4_K_M in Ollama

Capabilities:

Fit status

Tight fit

Decode

99.1 tok/s

TTFT

1953 ms

Safe context

19K

Memory

5.0 GB / 6.0 GB

Memory breakdown

Weights2.4 GB

KV Cache0.8 GB

Runtime1.2 GB

Headroom0.6 GB

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Tight fit	78.5 tok/s	3588 ms	35K
Chat	C	Tight fit	78.5 tok/s	1345 ms	10K
Coding	C	Tight fit	99.1 tok/s	1953 ms	19K
RAG	C	Tight fit	78.5 tok/s	4485 ms	35K
Reasoning	C	Tight fit	78.5 tok/s	2915 ms	19K

Quantization options

How Gemma 3 4B (4B params) fits at each quantization level on RTX 2060 6GB (6.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	1.6 GB	Low	D34
Q3_K_S	3	2.0 GB	Low	D36
NVFP4	4

Get started

Ollama

ollama run gemma-3-4b

HuggingFace

huggingface-cli download gemma-3-4b

Upgrade options

Hardware that runs Gemma 3 4B well

RX 7600 8GBBudget pick

C68.5 tok/s decode

~$269 MSRP

Intel Arc A750 8GBBest value

C90.2 tok/s decode

~$289 MSRP

RTX 2060 Super 8GBNVIDIA upgrade

B106.5 tok/s decode

~$399 MSRP

Intel Arc A580 8GBBiggest leap

See all results for RTX 2060 6GB See all hardware for Gemma 3 4B