Question 1

How much VRAM does gemma-3n-E2B-it need?

Accepted Answer

gemma-3n-E2B-it (5.4B) requires approximately 12.158091974258422 GB of VRAM at full precision (FP16), 6.1 GB at 8-bit quantization (Q8), and 3 GB at 4-bit quantization (Q4). The actual VRAM usage may be slightly higher due to KV cache and runtime overhead.

Question 2

What GPUs can run gemma-3n-E2B-it?

Accepted Answer

We have 10 compatible GPUs indexed for gemma-3n-E2B-it, including L4, RTX A4000, T4, A40, RTX 3090 and 5 more. Compatibility is determined by whether the GPU's VRAM can fit the model's memory footprint, potentially using quantization to reduce memory usage.

Question 3

What is the cheapest GPU to run gemma-3n-E2B-it?

Accepted Answer

The cheapest GPU to run gemma-3n-E2B-it in the cloud is the L4 at $0.20/hr. Other affordable options include RTX A4000 ($0.25/hr) and T4 ($0.35/hr). Prices reflect the lowest on-demand rate across cloud providers.

Question 4

Can gemma-3n-E2B-it run on consumer hardware?

Accepted Answer

Yes, gemma-3n-E2B-it can run on consumer GPUs like the RTX A4000 (16 GB VRAM) at full precision (FP16). Other compatible consumer GPUs include RTX 3090 and RTX A4500.

Question 5

What quantization options are available for gemma-3n-E2B-it?

Accepted Answer

gemma-3n-E2B-it supports the following quantization levels: FP16 (full precision): ~12.158091974258422 GB, Q8 (8-bit): ~6.1 GB, Q6 (6-bit): ~4.6 GB, Q4 (4-bit): ~3 GB. Lower quantization reduces VRAM usage at the cost of some quality loss. Q8 offers a good balance between quality and memory savings, while Q4 provides maximum compression.

GPU	VRAM	Best Quant	From	Rent
L4	24 GB	FP16	$0.20/hr
RTX A4000	16 GB	FP16	$0.25/hr	Rent
T4	16 GB	FP16	$0.35/hr
A40	48 GB	FP16	$0.44/hr	Rent
RTX 3090	24 GB	FP16	$0.46/hr	Rent
RTX A4500	20 GB	FP16	$0.50/hr	Rent
L40S	48 GB	FP16	$0.86/hr	Rent
RTX 5090	32 GB	FP16	$0.99/hr	Rent
A10G	24 GB	FP16	$1.01/hr
RTX A6000	48 GB	FP16	$1.09/hr

gemma-3n-E2B-it

VRAM Requirements

Compatible GPUs

gemma-3n-E2B-it FAQ

VRAM requirements for gemma-3n-E2B-it at different quantization levels
Quantization	VRAM Required
FP16	12.2 GB
Q8	6.1 GB
Q6	4.6 GB
Q4	3 GB