How much VRAM does gemma 2 2b it need?

gemma 2 2b it (2B parameters) requires approximately 6.0 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 A5000 24GB can run gemma 2 2b it with a C grade (Runs well). Expected decode speed: 354.0 tok/s.

CUsable

Runs well

Using Q6_K in Ollama

Capabilities:

Fit status

Runs well

Decode

354.0 tok/s

TTFT

547 ms

Safe context

64K

Memory

6.0 GB / 24.0 GB

Weights1.6 GB

KV Cache0.8 GB

Runtime1.2 GB

Headroom2.4 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs well	344.2 tok/s	818 ms	127K
Chat	C	Runs well	344.2 tok/s	350 ms	32K
Coding	C	Runs well	354.0 tok/s	547 ms	64K
RAG	C	Runs well	344.2 tok/s	1023 ms	127K
Reasoning	C	Runs well	344.2 tok/s	665 ms	64K

How gemma 2 2b it (2B params) fits at each quantization level on RTX A5000 24GB (24.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	0.8 GB	Low	D30
Q3_K_S	3	1.0 GB	Low	D30
NVFP4	4

HuggingFace

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

Upgrade options

MacBook Pro M4 Max 36GBBudget pick

C165.4 tok/s decode

~$2,499 MSRP

MacBook Pro M3 Max 48GBBest value

C153.7 tok/s decode

~$2,499 MSRP