Integrate Gemma 3 27B into Your Applications with AI4Chat API
Powerful API Access
Welcome to AI4Chat where you can integrate cutting-edge AI models like Gemma 3 27B into your applications
without any upfront cost. Our RESTful API provides a simple and consistent way to access Gemma 3 27B's
capabilities for a wide range of applications.
Seamless Reliability
With Gemma 3 27B API, you can incorporate sophisticated language processing that understands context, provides accurate
responses, and adjusts tone based on your requirements. AI4Chat ensures 100% uptime for our API,
so your applications run without interruption.
No Hidden Costs
Access Gemma 3 27B API with no credit card required to start, making advanced AI accessible to everyone,
from independent developers to enterprise teams looking for powerful AI solutions.
What is Gemma 3 27B?
```html
Gemma 3 27B is a state-of-the-art open AI chat model developed by Google as part of the Gemma family, which is built using the same advanced research and technology behind the widely acclaimed Gemini models. Designed for high performance on a single accelerator, Gemma 3 27B excels at text generation, language understanding, and multimodal processing, making it a powerful choice for a variety of chat-based applications, from customer support and education to code generation and creative writing. Its robust architecture and broad language support allow it to deliver engaging, contextually rich conversations across multiple domains.
- 128K Token Context Window: Gemma 3 27B supports exceptionally large input contexts, enabling it to process and remember extensive conversations, documents, or data streams for coherent and accurate responses.
- Multimodal Input: Beyond text, the model can analyze and respond to images and short videos, opening up possibilities for more interactive and visually aware chat experiences.
- Multilingual Support: With pretrained proficiency in over 140 languages, Gemma 3 27B ensures your AI chat platform can serve global audiences with ease.
- Function Calling & Structured Output: The model supports function calling and structured outputs, allowing for automation of tasks and integration with agentic workflows within chat environments.
- Optimized Performance: Gemma 3 27B is available in quantized versions for reduced computational requirements, enabling high-speed inference even on single GPUs or cloud environments with limited resources.
In summary, Gemma 3 27B stands out as a versatile, efficient, and scalable solution for AI-driven chat applications. With its advanced reasoning, broad language coverage, and multimodal capabilities, it empowers developers to build next-generation chatbots that deliver intelligent, context-aware, and highly engaging user experiences.
```
Gemma 3 27B API Documentation
Endpoint Overview
URL: POST /api/v1/chat/completions
Description: Generates chat completions using Gemma 3 27B based on the provided messages and parameters.
Authentication
All requests to the API must include an Authorization header with a valid Bearer token. You can generate your API key by visiting https://app.ai4chat.co/api.
Request Parameters
{
"model": "Gemma 3 27B", // Required. The name of the AI model to use.
"messages": [ // Required. An array of message objects.
{
"role": "user" | "assistant" | "system", // Required. The role of the message sender.
"content": "string" // Required. The content of the message.
}
],
"language": "string", // Optional. Defaults to "English".
"tone": "string", // Optional. Defaults to "Default".
"wordcount": "Default" | integer, // Optional. Defaults to "Default".
"googleSearchStatus": false, // Optional. Defaults to false.
"stream": false, // Optional. Defaults to false. If true, responses are streamed.
"temperature": 1.0, // Optional. Defaults to 1.0. Range: 0 to 2.
"top_p": 1.0, // Optional. Defaults to 1.0. Range: 0 to 1.
"top_k": 0 // Optional. Defaults to 0. Must be a non-negative integer.
}
Example Response
{
"id": "chatcmpl-123456789",
"object": "chat.completion",
"created": 1619475600,
"model": "Gemma 3 27B",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello! I'm here to help you with any questions or tasks you have. How can I assist you today?"
},
"finish_reason": "stop"
}
]
}
