LLM Reference
Google AI Studio

Using Gemma 4 E2B IT on Google AI Studio

Implementation guide · Gemma 4 · Google DeepMind

ServerlessOpen Source

Quick Start

  1. 1
    Create an account at Google AI Studio and generate an API key.
  2. 2
    Use the Google AI Studio SDK or REST API to call gemma-4-e2b-it — see the documentation for request format.

Code Examples

Install
pip install google-genai
API key
GOOGLE_API_KEY
Model ID
gemma-4-e2b-it

Use the model name directly, e.g. "gemini-2.0-flash", "gemini-1.5-pro", or "gemini-2.5-pro-preview-05-06".

import os
from google import genai

client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
    model="gemma-4-e2b-it",
    contents="Hello"
)
print(response.text)

About Google AI Studio

Google AI Studio is a model prototyping environment and API access point for Gemini models, offering an inference playground for developers to test and build AI applications.

Pricing on Google AI Studio

Capabilities

MultimodalFunction CallingStructured Outputs

About Gemma 4 E2B IT

Instruction-tuned variant of Gemma 4 E2B for edge deployment with enhanced instruction-following capabilities.

Model Specs

Released2026-03-31
Parameters2B
Context128k
Knowledge cutoff2025-01