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Overview

The Modal Gallery is a centralized interface for exploring and selecting AI models tailored to different tasks such as text generation, image generation, question-answering, and more. This gallery provides detailed insights into each model's capabilities, making it easier for users to choose the most suitable model for their project needs.

Key Features:​

  • Model Listings:

    • A curated collection of AI models like Llama 3.1, Gemma 3, Phi-3.5-mini, and others.
    • Each model includes essential details such as:
      • Task Type: Text generation, image generation, etc.
      • Model Size: For example, 3.4 GB for efficient handling.
      • Last Updated Date: To ensure the most up-to-date performance and features.
      • Description & Features: Overview of the model’s unique strengths and applications.

  • Filter and Search:

    • Advanced filtering options to quickly locate models based on:
      • Tasks: Select models for specific tasks like text generation or question-answering.
      • Collections: Choose from various model providers like Azure OpenAI, Meta, Microsoft, and others.
      • Models: Filter specific models (e.g., GPT-4, Llama-2, Gemma 3).
      • Metrics: Refine searches by performance metrics such as accuracy, coherence, fluency, and relevance to match project needs.
    • A search bar allows users to instantly locate models by name or keywords.

  • Detailed Model Information:

    • Each model card includes a brief description, but clicking on a model reveals comprehensive details through the following tabs:
      • Key Features: A summary of what the model excels at (e.g., Exceptional Text Generation, Efficient Performance).
      • Usage: Guidelines on how to integrate the model, including code examples for quick implementation.
      • Limitations: Any known constraints or limitations of the model that users should be aware of before use.
      • License: Legal and usage information regarding the model's license.
      • Benchmark: Detailed benchmark data, comparing the model’s performance on various tasks using metrics like accuracy, fluency, and relevance.

  1. Browse Models:

    • Scroll through the main gallery page to explore the full range of available AI models.
    • Each model card provides an overview with essential details like task type, size, and a short description.

  2. Filter and Search:

    • Use the filter options on the right side to narrow down models based on task, provider, or performance metrics.
    • Enter a model name in the search bar for quick access.

  3. View Model Details:

    • Click on any model card to view its complete information, including key features, code examples, limitations, and benchmark performance. This helps users make an informed decision based on their specific use case.

Example:​

The Modal Gallery includes models like Llama 3.1, which supports multilingual tasks, or Gemma 3, optimized for advanced text generation. Using filters, users can find models that best fit their project and view detailed performance data, making it easier to integrate the models into AI-driven solutions.