saksham0510/formai-tinyllama

Model Overview

The saksham0510/formai-tinyllama is a 1.1 billion parameter model developed by saksham0510, specifically engineered for generating structured JSON form definitions from natural language user prompts. Its core function is to transform a user's request, such as "Create a customer satisfaction survey for a restaurant," into a valid JSON output containing a form's title, description, and a list of questions with specified types and properties.

Key Capabilities

• Form Generation: Converts plain text prompts into detailed JSON form structures.
• Structured Output: Produces JSON objects with fields like title, description, and an array of questions.
• Question Detail: Each generated question includes questionId, questionText, questionType (e.g., short_answer, multiple_choice, rating), isRequired, orderIndex, and options.
• Integration Focus: Designed to be served via a deployed inference endpoint or Hugging Face Space, integrating with a backend system that handles API requests and responses.

Good For

• Automated Form Creation: Ideal for applications requiring dynamic generation of surveys, feedback forms, or data collection interfaces based on user input.
• Developers Building Form Builders: Provides a robust machine learning component for backend services that need to programmatically create and manage form definitions.
• Streamlining UI Development: By outputting structured JSON, it simplifies the process of rendering forms in frontend applications.