models gemma 4 e2b it

gemma-4-e2b-it

Overview

This model is an optimized version of Gemma 4 E2B IT for local inference. Optimized models are published here in ONNX format to run on CPU and GPU across devices, including server platforms, Windows, Linux and Mac desktops, and mobile CPUs, with the precision best suited to each target.

ONNX Models

Here are some of the optimized configurations we have added:

1. ONNX model for CPU and mobile using RTN quantization.
2. ONNX model for GPU using RTN quantization.

Model Description

• Developed by: Google DeepMind
• Model type: ONNX
• License: apache-2.0
• Model Description: This is a conversion of Gemma 4 E2B IT for local inference.
• Disclaimer: Model is only an optimization of the base model, any risk associated with the model is the responsibility of the user of the model. Please verify and test for your scenarios. There may be a slight difference in output from the base model with the optimizations applied. Note that optimizations applied are distinct from fine tuning and thus do not alter the intended uses or capabilities of the model.

Base Model Information

See Hugging Face model Gemma 4 E2B IT for details.

Version: 1

View in Studio: https://ml.azure.com/registries/azureml/models/gemma-4-e2b-it/version/1