How much VRAM does gemma 2 2b it need?

gemma 2 2b it (2B parameters) requires approximately 5.2 GB of memory with Q6_K quantization.

What is the best quantization for gemma 2 2b it?

The recommended quantization for gemma 2 2b it is Q6_K, which balances quality and memory efficiency.

Can it run?

Yes, RTX 4080 Super 16GB can run gemma 2 2b it with a C grade (Runs well). Expected decode speed: 339.3 tok/s.

CUsable

Runs well

Using Q6_K in Ollama

Capabilities:

Fit status

Runs well

Decode

339.3 tok/s

TTFT

571 ms

Safe context

49K

Memory

5.2 GB / 16.0 GB

Weights1.6 GB

KV Cache0.8 GB

Runtime1.2 GB

Headroom1.6 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	391.1 tok/s	720 ms	98K
Chat	C	Runs well	391.1 tok/s	350 ms	24K
Coding	C	Runs well	339.3 tok/s	571 ms	49K
RAG	C	Runs well	391.1 tok/s	900 ms	98K
Reasoning	C	Runs well	391.1 tok/s	585 ms	49K

How gemma 2 2b it (2B params) fits at each quantization level on RTX 4080 Super 16GB (16.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	0.8 GB	Low	D31
Q3_K_S	3	1.0 GB	Low	D31
NVFP4	4

HuggingFace

huggingface-cli download hf-bartowski--gemma-2-2b-it-gguf

Upgrade options

MacBook Pro M4 Pro 24GBBudget pick

C134.6 tok/s decode

~$1,999 MSRP