AI Coding BATTLE | Which Open Source Model is BEST?
Summary
TLDRIn this video, the presenter compares three open-source coding models: Deep Sea Coder V2, Yoder 9B, and Quen 2.5, using a high-performance Dell Precision PC with dual Nvidia RTX A6000 GPUs. Through various coding tasks, including creating games like Snake and Tetris, as well as solving coding challenges, Quen 2.5 emerges as the fastest and most reliable model. While all models successfully completed simpler tasks, Quen 2.5 outperformed the others in both speed and functionality, making it a standout choice for local coding projects. The video highlights the potential of these models and expresses gratitude to Dell and Nvidia for their support.
Takeaways
- đ Three open-source coding models were tested: Deep Sea Coder V2, Yoder 9B, and Quen 2.5 Coder 7B.
- đ The tests were conducted on a powerful Dell Precision 5860 with dual RTX A6000 GPUs and 96 GB VRAM.
- đ Quen 2.5 outperformed the other models, particularly in creating the Snake game, using Pygame effectively.
- đ Deep Sea Coder V2 struggled with Tkinter for the Snake game, resulting in a non-functional output.
- đ Yoder 9B successfully created a working Snake game using Turtle, but had minor issues with pixel alignment.
- đ None of the models could successfully create the Tetris game, highlighting limitations in their capabilities.
- đ For a coding challenge to move letters forward by 10 in a string, all three models provided correct implementations.
- đ All models failed to create an efficient prime number generator within the required time constraints.
- đ All models successfully solved the challenge of finding the median of two sorted arrays.
- đ The video highlighted the advantages of using local models for coding tasks without requiring internet access.
Q & A
What are the three coding models tested in the video?
-The three models tested are Deep Sea Coder V2, Yoder 9B, and Quen 2.5.
What is the primary feature of these coding models?
-All three models can be run locally without an internet connection, making them suitable for offline coding.
How was the testing environment set up?
-The testing was conducted on a high-performance PC provided by Dell and Nvidia, equipped with two RTX A6000 GPUs and 96 GB of VRAM.
Which coding model was fastest in creating the Snake game?
-Quen 2.5 was the fastest and produced a fully functional Snake game using Pygame.
What issue did Deep Sea Coder V2 encounter when creating Tetris?
-Deep Sea Coder V2 failed to run Tetris due to not importing the Pygame library.
What was the outcome of the coding challenges from CodeWars?
-All models successfully completed the 'Move 10' challenge, but none were able to pass the more complex coding challenges.
How did Quen 2.5 perform in the final challenge regarding the median of two sorted arrays?
-Quen 2.5 passed the median challenge, showcasing its efficiency and reliability.
What advantage does Quen 2.5 have over the other models according to the tests?
-Quen 2.5 was noted for its speed and ability to produce working code effectively compared to the other models.
What types of games were the models tested on?
-The models were tested on creating the Snake game and Tetris.
What is the significance of the testing setup mentioned in the video?
-The powerful hardware setup allowed for running multiple models simultaneously, providing insights into their performance and capabilities.
Outlines
Cette section est réservée aux utilisateurs payants. Améliorez votre compte pour accéder à cette section.
Améliorer maintenantMindmap
Cette section est réservée aux utilisateurs payants. Améliorez votre compte pour accéder à cette section.
Améliorer maintenantKeywords
Cette section est réservée aux utilisateurs payants. Améliorez votre compte pour accéder à cette section.
Améliorer maintenantHighlights
Cette section est réservée aux utilisateurs payants. Améliorez votre compte pour accéder à cette section.
Améliorer maintenantTranscripts
Cette section est réservée aux utilisateurs payants. Améliorez votre compte pour accéder à cette section.
Améliorer maintenantVoir Plus de Vidéos Connexes
Why This Open-Source Code Model Is a Game-Changer!
Which nVidia GPU is BEST for Local Generative AI and LLMs in 2024?
New AI Chip, GPT4o, Claude 3.5, SpaceX Double Landing, AI Video Games
How long can they last? | ULTIMATE BATTERY TEST
GPT-4o VS Claude 3.5 Sonnet - Which AI is #1?
Code with me: Machine learning on a Macbook GPU (works for all M1, M2, M3) for a 10x speedup
5.0 / 5 (0 votes)