Benchgen
Models/google/

Gemma 3n E4B LiteRT Preview

DraftPublic

Model Details

Gemma 3n E4B LiteRT Preview

Organization License Released

Quick answer: Gemma 3n E4B LiteRT Preview is Google's May 2025 on-device model scoring 61.6% ARC-C, 64.5% Global MMLU Lite, 78.6% HellaSwag. LiteRT-optimised for edge deployment.

At a Glance

Where Gemma 3n E4B LiteRT Preview leads

  • 61.6% ARC-C — strong reasoning for E4B edge
  • LiteRT: hardware-accelerated on-device inference
  • Google ecosystem integration

Where it lags

  • Preview: not production-ready
  • E4B: compact scale limits capability

Best for: On-device Android/ChromeOS AI workloads; Google Pixel inference; LiteRT hardware acceleration.

What Gemma 3n E4B LiteRT Preview Is

Gemma 3n E4B LiteRT Preview is part of the Google May 2025 Gemma 3n family, optimised for LiteRT (formerly TensorFlow Lite) on-device inference. The E4B variant is smaller than the E4B, targeting the most constrained edge hardware.

Specifications

FieldValue
OrganizationGoogle
LicenseGemma Terms of Use
HuggingFacegoogle/gemma-3n-e4b-litert-preview
Release dateMay 20, 2025
ModalityText only

Pricing

Open weights under Gemma ToU — self-host at no cost.

Public Benchmark Scores

BenchmarkScoreSourceDate
ARC-C61.6%Benchgen evaluation2025-05
Global MMLU Lite64.5%Benchgen evaluation2025-05
HellaSwag78.6%Benchgen evaluation2025-05

Gemma 3n E4B LiteRT vs Alternatives

ModelARC-CGlobal MMLU LiteLicense
Gemma 3n E4B LiteRT61.6%64.5%Gemma ToU
Gemma 3n E4BGemma ToU
Gemma 3n E2BGemma ToU

Frequently Asked Questions

What is Gemma 3n E4B LiteRT Preview? Google's May 2025 on-device E4B preview scoring 61.6% ARC-C, 64.5% Global MMLU Lite. LiteRT edge inference.

Specs from Google's Gemma 3n E4B LiteRT Preview release (May 2025) and Benchgen evaluations. Last updated 2026-07-24.