Integrate LFM 7B into Your Applications with AI4Chat API
Powerful API Access
Welcome to AI4Chat where you can integrate cutting-edge AI models like LFM 7B into your applications
without any upfront cost. Our RESTful API provides a simple and consistent way to access LFM 7B's
capabilities for a wide range of applications.
Seamless Reliability
With LFM 7B 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 LFM 7B 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 LFM 7B?
```html
LFM 7B is an advanced multilingual AI chat model developed by Liquid AI, leveraging the innovative Liquid Foundation Model (LFM) architecture. Engineered from the ground up using principles from liquid neural networks and signal processing, LFM 7B is designed to excel in chat-based interactions, offering high-quality, accurate, and useful responses across multiple languages, including English, Arabic, and Japanese. Its unique architecture emphasizes efficiency, enabling fast inference speeds and a low memory footprint, making it ideal for conversational AI applications with extended context handling.
- Multilingual Chat Excellence: Optimized to provide natural, insightful conversations in English, Arabic, and Japanese, positioning LFM 7B as one of the world’s best multilingual chat models.
- Efficient Memory Usage: Employs a reduced memory footprint compared to traditional transformer models, enabling processing of longer sequences (up to 32k tokens) on the same hardware without performance degradation.
- Strong Response Quality and Accuracy: Outperforms other language models in the 7B-8B parameter range in benchmarks and real-world conversational tasks, ensuring responses are relevant, precise, and aligned with user needs.
- Fast Inference Speed: Designed for rapid response generation, which enhances user experience in interactive chat scenarios and supports real-time applications.
- Robust Instruction Following and Coding Capabilities: Excels not only in conversational aptitude but also in understanding and executing complex instructions, as well as in coding-related tasks, broadening its applicability.
In summary, LFM 7B sets a new standard for chat-based AI models by combining cutting-edge foundational architecture with practical advantages such as multilingual proficiency, long-context processing, and computational efficiency. This makes it a powerful and versatile tool for developers and enterprises seeking to deploy high-performance conversational agents across diverse languages and use cases.
```
LFM 7B API Documentation
Endpoint Overview
URL: POST /api/v1/chat/completions
Description: Generates chat completions using LFM 7B 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": "LFM 7B", // 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": "LFM 7B",
"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"
}
]
}