



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-3-27b-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-3-27b-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}")

Product Detail
Gemma 3 (27B) is an advanced, cutting-edge multimodal AI model developed by Google, engineered to seamlessly integrate both text and vision processing capabilities. This powerful model distinguishes itself with an expansive 96,000-token context window, enabling it to efficiently handle and comprehend vast volumes of information. Furthermore, it supports function calling for executing sophisticated, multi-step tasks. Optimized for wide-ranging deployment, Gemma 3 (27B) offers a balanced combination of high performance and operational efficiency, running effectively across diverse hardware, from mobile phones to high-end workstations.
✨ Technical Specifications
- 💻 Context Window: 96,000 tokens – Facilitates deep understanding and coherence across extensive datasets.
- 📷 Multimodal Inputs: Processes both text and visual data, enabling rich, integrated understanding.
- 🌐 Language Support: Supports comprehension and generation in over 140 languages for global applications.
- 🚀 Optimized Deployment: Designed for peak performance on single-GPU systems and resource-constrained environments, including mobile devices.
🚀 Key Features of Gemma 3 (27B)
- Integrated Multimodal Understanding: Combines text and images to produce coherent and contextually relevant outputs.
- Extensive Context Handling: Leverages its 96K token context window to maintain profound content coherence over large information sets.
- Robust Multilingual Proficiency: Offers advanced capabilities for communication and translation across more than 140 languages.
- Efficient & Flexible Deployment: Optimized for superior performance even on limited hardware, encompassing mobile devices and single-GPU configurations, ensuring broad accessibility.
💡 Intended Applications
- 💻 Content Creation: Ideal for generating integrated text and visual media for various digital platforms and marketing.
- 🌐 Language Translation: Delivers high-quality, scalable translation services across a multitude of languages.
- 📚 Educational Applications: Facilitates the development of interactive learning content through its powerful multimodal input processing.
- 📈 Data Interpretation: Excels at effective summarization and advanced analysis of complex datasets via sophisticated reasoning capabilities.
🔒 Ethical Considerations
Google upholds a strong commitment to responsible AI development. We prioritize transparency concerning Gemma 3's functions and its inherent limitations. We actively advocate for its ethical deployment to minimize potential risks of misuse and the generation of harmful content, fostering a secure and beneficial AI ecosystem.
📄 Licensing Details
Gemma 3 is distributed under the Gemma Terms of Use. This commercially-friendly license facilitates both research and commercial applications, contingent upon strict adherence to established ethical standards and guidelines.
🛠️ How to Use Gemma 3 (27B)
For comprehensive implementation details, API integration guides, and practical examples, developers are encouraged to refer to the official Google AI documentation. Gemma 3 (27B) is designed for straightforward integration, enabling easy access to its advanced AI capabilities across various applications.
❓ Frequently Asked Questions (FAQ)
Q1: What defines Gemma 3 (27B) as a multimodal AI model?
A1: Gemma 3 (27B) is multimodal because it can process and understand both text and visual data simultaneously, allowing it to generate outputs that intelligently combine insights from both input types.
Q2: What is the primary benefit of its 96,000-token context window?
A2: The 96,000-token context window allows Gemma 3 (27B) to process and maintain a very large amount of information within a single interaction. This results in more coherent, contextually aware, and detailed responses, even for highly complex queries or extensive documents.
Q3: Is Gemma 3 (27B) suitable for commercial development?
A3: Yes, Gemma 3 (27B) is released under the Gemma Terms of Use, which provides a commercially-friendly license. It is designed to be utilized for both research and commercial applications, provided ethical standards are met.
Q4: On what types of devices can Gemma 3 (27B) be deployed?
A4: Gemma 3 (27B) is optimized for efficient deployment across a wide spectrum of hardware environments, including mobile phones, single-GPU systems, and high-end workstations, ensuring broad accessibility and flexibility.
Q5: How does Google ensure ethical use and development of Gemma 3 (27B)?
A5: Google maintains a strong focus on responsible AI development by ensuring transparency regarding Gemma 3's capabilities and limitations. The company actively promotes ethical usage guidelines to minimize the risks of misuse and the generation of harmful content.
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