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const { OpenAI } = require('openai');
const api = new OpenAI({
baseURL: 'https://api.ai.cc/v1',
apiKey: '',
});
const main = async () => {
const result = await api.chat.completions.create({
model: 'google/gemma-3-12b-it',
messages: [
{
role: 'system',
content: 'You are an AI assistant who knows everything.',
},
{
role: 'user',
content: 'Tell me, why is the sky blue?'
}
],
});
const message = result.choices[0].message.content;
console.log(`Assistant: ${message}`);
};
main();
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.ai.cc/v1",
api_key="",
)
response = client.chat.completions.create(
model="google/gemma-3-12b-it",
messages=[
{
"role": "system",
"content": "You are an AI assistant who knows everything.",
},
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")
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AI Playground
Test all API models in the sandbox environment before you integrate.
We provide more than 300 models to integrate into your app.
Product Detail
✨ Discover Gemma 3 (12B)
Gemma 3 (12B) emerges as a state-of-the-art, multimodal large language model, seamlessly integrating advanced text and vision processing capabilities. Engineered for diverse deployment, it masterfully balances high performance with operational efficiency across a wide spectrum of hardware, from mobile devices to powerful workstations.
At its core lies an expansive 131,000-token context window, empowering it with an unparalleled capacity for deep understanding and nuanced generation over even the most extensive and complex inputs.
🚀 Technical Specifications
- Context Window: 131,000 tokens – Facilitates processing of remarkably long documents and complex data streams.
- Modalities: Text and Vision input processing – Offers a holistic comprehension for varied applications.
- Multilingual Support: Over 140 languages – Ensures global reach for communication and content generation.
- Deployment: Optimized for resource-constrained hardware, including single-GPU systems – Guarantees efficient and broad accessibility.
🌟 Key Features
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•
Multimodal Processing: Enables effective handling and generation of content from both textual and visual data, fostering a comprehensive understanding crucial for diverse applications.
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•
Extended Context Handling: Supports processing of extremely long documents or multimodal inputs, leveraging its extensive 131K token context window for superior coherence.
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•
Global Language Coverage: Offers robust multilingual capabilities, facilitating accurate translation, seamless communication, and rich content generation across more than 140 languages.
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•
Efficient and Scalable Deployment: Designed for adaptability across various environments, guaranteeing efficient operation even on devices with limited computational resources, from edge devices to cloud servers.
💡 Optimal Use Cases
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►
Creative Content Generation: Excelling in generating integrated text and visual media for dynamic social platforms, impactful marketing campaigns, and immersive storytelling experiences.
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►
Multilingual Translation: Empowering accurate and contextually nuanced translation across a multitude of languages, effectively dissolving communication barriers on a global scale.
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►
Educational Applications: Revolutionizing interactive learning tools with rich multimodal content, sophisticated reasoning capabilities, and personalized educational journeys.
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►
Complex Data Interpretation: Providing robust support for in-depth summarization, advanced analysis, and intelligent reasoning on extensive datasets that skillfully combine both text and images.
⚙️ Usage
Gemma 3 (12B) is designed for seamless integration via APIs. Below is a conceptual example for interacting with the model, such as for chat completion tasks:
// Example API call for chat completion
POST /v1/chat/completions HTTP/1.1
Host: api.modelprovider.com
Content-Type: application/json
Authorization: Bearer YOUR_API_KEY
{
"model": "google/gemma-3-12b-it",
"messages": [
{"role": "user", "content": "Explain the multimodal capabilities of Gemma 3 (12B)."}
],
"max_tokens": 200
}Note: The specific API endpoint, payload structure, and authentication methods may vary depending on the service provider offering access to Gemma 3 (12B).
🛡️ Ethical Guidelines
Google maintains a strong commitment to ethical AI development, ensuring comprehensive transparency about Gemma 3’s extensive capabilities and inherent limitations. The company proactively champions the responsible deployment and judicious use of the model, aiming to mitigate potential risks of misuse or unintended harmful outputs.
📜 Licensing
Gemma 3 is offered under the Gemma Terms of Use. This commercially-friendly license structure supports both cutting-edge research endeavors and diverse commercial applications, all while ensuring strict alignment with established ethical standards.
❓ Frequently Asked Questions (FAQ)
Q1: What is Gemma 3 (12B) and its primary function?
Gemma 3 (12B) is Google's advanced multimodal large language model, designed to process and generate content from both text and vision inputs, offering deep understanding for various applications.
Q2: How large is Gemma 3 (12B)'s context window?
It features an extended context window of 131,000 tokens, enabling it to process and understand very long documents and complex multimodal inputs efficiently.
Q3: Is Gemma 3 (12B) suitable for multilingual tasks?
Absolutely. It offers broad multilingual support for over 140 languages, making it excellent for translation, cross-cultural communication, and global content generation.
Q4: Can Gemma 3 (12B) be deployed on devices with limited resources?
Yes, Gemma 3 (12B) is specifically optimized for efficient deployment on resource-constrained hardware, including systems with a single GPU, making it highly accessible.
Q5: What are the licensing terms for Gemma 3 (12B)?
It is available under the Gemma Terms of Use, providing a commercially-friendly license that supports both research and various commercial applications while adhering to ethical AI standards.
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