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Quasar 438B | CompactifAI API

Quasar 438B is an OpenAI-compatible LLM inference API offering tool calling, structured output, multi-modality, and speech-to-text capabilities. Developed by Multiverse Computing, it supports advanced reasoning and structured outputs for diverse applications.

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Description

Quasar 438B is a sophisticated AI model developed by Multiverse Computing, designed to integrate seamlessly with OpenAI-compatible systems. It offers a robust API for LLM inference, allowing users to leverage tool calling, structured output, and multi-modality features. The model is accessible via POST /v1/chat/completions, using the standard OpenAI-compatible chat payload.

One of the standout features of Quasar 438B is its ability to support function and tool calling, enabling users to execute complex tasks with ease. The model also excels in providing structured outputs, which can be customized using the response_format parameter. This flexibility makes it suitable for a wide range of applications, from data analysis to content generation.

Quasar 438B is equipped with advanced reasoning capabilities, which are always enabled and cannot be toggled off. Users can control the depth of reasoning by setting the reasoning_effort parameter to 'high' or 'max', ensuring that the model meets the specific needs of each task. This feature is particularly beneficial for applications requiring detailed analysis and decision-making.

The API is designed for easy integration, allowing developers to specify quasar-438b as the model field in chat completion requests. This simplicity, combined with its powerful features, makes Quasar 438B an attractive choice for businesses and developers looking to enhance their AI capabilities.

Quasar 438B Highlights

  • OpenAI-compatible LLM inference

  • Tool calling support

  • Structured output capability

  • Multi-modality integration

  • Speech-to-text functionality

  • Advanced reasoning always enabled

  • Reasoning effort levels: high, max

  • API ID: quasar-438b

  • Parameter count: 438B

  • Chat completions via /v1/chat/completions

Getting Started with Quasar 438B

  1. Configure: Set up API parameters

  2. Use: Implement chat completions

  3. Optimise: Adjust reasoning effort

  4. Integrate: Use tool calling features

Quasar 438B's Use Cases

  • Data Analysis
  • Content Generation
  • Tool Integration
  • Speech Recognition
  • Decision Making

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