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Meta's Llama 4 Fully Tested in 15 Minutes – AI Revolution or AI Redundancy

BY d3dtk
July 7, 2025
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Private
5573 views

Meta's Llama 4 Launch and Testing

Introduction

  • Meta (Facebook) has announced three new models in the Llama 4 family.
  • The focus will be on testing the Llama 4 Maverick model.

Llama 4 Models Overview

  1. Llama 4 Scout

    • Parameters: 109 billion total, 17 billion active.
    • Features: 10 million token context length.
  2. Llama 4 Maverick

    • Parameters: 400 billion total, with 128 experts.
    • Features: 17 billion active parameters, 1 million token context length.
    • Currently available and tested on various types of questions.
  3. Llama 4 Behemoth

    • Parameters: 2 trillion total, 288 billion active.
    • Not yet available due to ongoing training and issues.

Testing Llama 4 Maverick

  • Testing was conducted using together.ai as Meta does not offer a direct interface.
  • Various types of questions and programming tasks were tested.

Logic and Comprehension Testing

  • Easy Logic Questions: Successfully answered the simple logic questions like counting family members.
  • Complex Logic Questions: Struggled with more complex logic problems, such as the second hourglass question.

English Language Tasks

  • Successfully completed tasks involving synonym finding and reversing.

Programming Tasks

  • Python Programming: Successfully wrote a program to process a phrase and convert numerical results to hexadecimal.
  • Specification Task: Developed a specification for an encoding method and wrote C code, though initial build attempts had errors.

Machine Learning Task

  • Attempted to create a tic-tac-toe game with machine learning but was unsuccessful in creating a robust AI opponent.

Image Recognition

  • Described an infographic as Shakespeare with moderate success.
  • Failed to correctly identify the top values of dice from an image.

Conclusion

  • Performance Evaluation: Maverick performed well with simpler tasks but struggled with more complex programming and logic challenges.
  • Comparison to Other Models: Gemini 2.5 Pro and models from OpenAI appear to perform better.
  • Future Outlook: Interest in seeing results from Llama 4 Behemoth once available.

User Engagement

  • The video invites viewers to share their thoughts and opinions on the performance of Llama 4 Maverick.

Author

  • Video by Gary Sims of Gary Explains, encouraging viewers to like and subscribe for more content.