How much VRAM does gemma 2 2b it need?

gemma 2 2b it (2B parameters) requires approximately 5.6 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 4000 Ada 20GB can run gemma 2 2b it with a C grade (Runs well). Expected decode speed: 166.0 tok/s.

CUsable

Runs well

Using Q6_K in Ollama

Capabilities:

Fit status

Runs well

Decode

166.0 tok/s

TTFT

1167 ms

Safe context

57K

Memory

5.6 GB / 20.0 GB

Weights1.6 GB

KV Cache0.8 GB

Runtime1.2 GB

Headroom2.0 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	166.0 tok/s	1697 ms	113K
Chat	C	Runs well	166.0 tok/s	636 ms	28K
Coding	C	Runs well	166.0 tok/s	1167 ms	57K
RAG	C	Runs well	166.0 tok/s	2121 ms	113K
Reasoning	C	Runs well	166.0 tok/s	1379 ms	57K

How gemma 2 2b it (2B params) fits at each quantization level on RTX 4000 Ada 20GB (20.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	0.8 GB	Low	D30
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 Max 32GBBudget pick

C148.5 tok/s decode

~$1,999 MSRP

MacBook Pro M2 Pro 32GBBest value

C89.6 tok/s decode

~$1,999 MSRP