Meta's Llama 4 Fully Tested in 15 Minutes – AI Revolution or AI Redundancy
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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
5541 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
Llama 4 Scout
Parameters: 109 billion total, 17 billion active.
Features: 10 million token context length.
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.
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.
Transcript
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