How much VRAM does gemma 3 27b it need?

gemma 3 27b it (27B parameters) requires approximately 23.5 GB of memory with Q4_K_M quantization.

What is the best quantization for gemma 3 27b it?

The recommended quantization for gemma 3 27b it is Q4_K_M, which balances quality and memory efficiency.

Can it run?

No, gemma 3 27b it requires more memory than RTX 4080 Super 16GB provides.

FWon't run

Too heavy

Using Q4_K_M in Ollama

Capabilities:

Fit status

Too heavy

Decode

32.2 tok/s

TTFT

6017 ms

Safe context

11K

Memory

23.5 GB / 16.0 GB

Weights16.5 GB

KV Cache4.2 GB

Runtime1.2 GB

Headroom1.6 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	F	Too heavy	37.1 tok/s	7592 ms	18K
Chat	F	Too heavy	37.1 tok/s	2847 ms	6K
Coding	F	Too heavy	32.2 tok/s	6017 ms	11K
RAG	F	Too heavy	37.1 tok/s	9490 ms	18K
Reasoning	F	Too heavy	37.1 tok/s	6169 ms	11K

How gemma 3 27b it (27B params) fits at each quantization level on RTX 4080 Super 16GB (16.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_KBest for your GPU	2	10.5 GB	Low	C43
Q3_K_S	3	13.2 GB	Low	C44

Upgrade options

RX 7900 XTX 24GBBest value

C41.5 tok/s decode

~$999 MSRP

Mac mini M4 64GBBudget pick

C5.2 tok/s decode

~$1,099 MSRP

RTX 5090 32GBBiggest leap