How much VRAM does gemma 2 2b it need?

gemma 2 2b it (2B parameters) requires approximately 4.7 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 2080 Ti 11GB can run gemma 2 2b it with a C grade (Runs well). Expected decode speed: 284.0 tok/s.

CUsable

Runs well

Using Q6_K in Ollama

Capabilities:

Fit status

Runs well

Decode

284.0 tok/s

TTFT

682 ms

Safe context

37K

Memory

4.7 GB / 11.0 GB

Weights1.6 GB

KV Cache0.8 GB

Runtime1.2 GB

Headroom1.1 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	256.4 tok/s	1098 ms	74K
Chat	C	Runs well	256.4 tok/s	412 ms	19K
Coding	C	Runs well	284.0 tok/s	682 ms	37K
RAG	C	Runs well	256.4 tok/s	1373 ms	74K
Reasoning	C	Runs well	256.4 tok/s	893 ms	37K

How gemma 2 2b it (2B params) fits at each quantization level on RTX 2080 Ti 11GB (11.0 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 M2 Pro 16GBBudget pick

C89.6 tok/s decode

~$1,999 MSRP

MacBook Pro M1 Pro 16GBBest value

C83.2 tok/s decode

~$1,999 MSRP