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Gemma 3N E4B Instruct

Gemma 3N E4B Instruct

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About Gemma 3N E4B Instruct

Multimodal LLM optimized for low-resource devices, supporting text, image, video, and audio input with 4B effective parameters, 32K token context, and efficient memory via Per-Layer Embedding caching and MatFormer architecture.

Technical Specifications

Model ID
google-gemma-3n-E4B-it
Category
LLM Models
Task
Text Generation
Price
$0.09 per million tokens
Added
July 22, 2025

Key Features

  • Chat completion and multi-turn conversation API
  • Streaming response with token-by-token output
  • Function calling and tool use support
  • System prompts and role-based messaging
  • JSON mode and structured output

Quick Start

Integrate Gemma 3N E4B Instruct into your application with a single API call. Get your API key from the pricing page to get started.

import requests
import json
url = "https://modelslab.com/api/v7/llm/chat/completions"
headers = {
"Content-Type": "application/json"
}
data = {
"model_id": "google-gemma-3n-E4B-it",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"max_tokens": 1000,
"key": "YOUR_API_KEY"
}
try:
response = requests.post(url, headers=headers, json=data)
response.raise_for_status() # Raises an HTTPError for bad responses (4XX or 5XX)
result = response.json()
print("API Response:")
print(json.dumps(result, indent=2))
except requests.exceptions.HTTPError as http_err:
print(f"HTTP error occurred: {http_err} - {response.text}")
except Exception as err:
print(f"Other error occurred: {err}")

Pricing

Gemma 3N E4B Instruct API costs $0.09 per million tokens. Pay only for what you use with no minimum commitments. View pricing plans

Use Cases

  • AI chatbots and virtual assistants
  • Code generation and developer tools
  • Content writing and copywriting automation
  • Data analysis, summarization, and extraction

Gemma 3N E4B Instruct FAQ

Multimodal LLM optimized for low-resource devices, supporting text, image, video, and audio input with 4B effective parameters, 32K token context, and efficient memory via Per-Layer Embedding caching and MatFormer architecture.

You can integrate Gemma 3N E4B Instruct into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "google-gemma-3n-E4B-it" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

Gemma 3N E4B Instruct costs $0.09 per million tokens. ModelsLab plans start at $21/month (Basic), and the $149/month Open Source plan includes unlimited generation on open-source models.

The model ID for Gemma 3N E4B Instruct is "google-gemma-3n-E4B-it". Use this ID in your API requests to specify this model.

Yes. ModelsLab is subscription-based with no free tier — plans start at $21/month (Basic, 3,250 API calls). The $149/month Open Source Unlimited plan includes unlimited generation across open-source models; premium third-party models are billed per call from your wallet.