Llama-3.1 (Fully Tested) : Are the 405B, 70B & 8B Models Really Good? (Can it beat Claude & GPT-4O?)
TLDRIn this video, the host reviews Meta's newly launched Llama 3.1 models, including 8B, 70B, and 405B variants, comparing their performance against Claude 3.5 and GPT-40. The models are tested on a set of 12 questions, with the 405B model outperforming the others, passing 10 out of 12. The 8B model is praised for its size-to-performance ratio, while the 70B model underperforms. The host recommends the 8B and 405B models and suggests checking out the Nemo 12B model for those seeking a more efficient alternative.
Takeaways
- π Meta has launched three new models under the Llama 3.1 banner: an 8B, a 70B, and a 405B variant.
- π The 8B and 70B models are updated versions of the Llama 3 models, while the 405B model is a new addition.
- π’ All models now have a 128k context limit, enhancing their capabilities.
- π¬ The 8B and 70B models are compared against Gemma, but the 405B model is compared against Claude 3.5, Sonet, and GPT-40, showing its competitive edge.
- π° Pricing has been updated: the 8B model costs 20 cents, the 70B costs $0.90, and the 405B costs $3.
- π€ The 405B model is available on Meta's own platform, while the other models are not, but all are available on Hugging Face and AMA.
- π» The presenter plans to test all models using the Nvidia Nimbus platform due to its ease of use and no requirement to sign up for a Facebook account.
- π The presenter will test the models with 12 questions, a mix of old and new, to assess their performance.
- π The 405B model performed the best, passing 10 out of 12 questions, followed by the 70B model with 8 passes, and the 8B model with 6 passes.
- π The 8B model is noted as being good considering its size, while the 70B model is not as impressive due to its low performance relative to the 8B model.
- π The presenter recommends checking out the Nemo model for those looking for a good model above the 8B size, as it is on par with the 70B model but smaller.
Q & A
What is the significance of the launch of Llama 3.1 models?
-Llama 3.1 models, including 8B, 70B, and 405B variants, were launched by Meta. These models are updated versions or new additions to the Llama series, with a 128k context limit, indicating advancements in their capabilities.
How does the 405B model compare to Claude 3.5 and GPT-40 in terms of performance?
-The 405B model is claimed to be on par with Claude 3.5 and GPT-40, suggesting that it is highly competitive in terms of performance and capabilities.
What is the pricing for the different Llama 3.1 models?
-The pricing for the Llama 3.1 models is as follows: the 8B model costs 20 cents, the 70B model costs 90 cents, and the 405B model costs $3.
Why is the 405B model available on Meta's platform, but the other models are not?
-The 405B model is available on Meta's platform for users to try out, while the other models are not. The reason for this discrepancy is not specified in the script.
What platform does the video creator use to test the Llama models?
-The video creator uses the Nvidia NIM platform to test the Llama models, as it is free to use and easy to navigate.
What is the context limit for the new Llama 3.1 models?
-The new Llama 3.1 models have a context limit of 128k, which is a significant feature of these models.
How does the video creator plan to test the Llama models?
-The video creator plans to test the Llama models by sending the same set of 12 questions to each model and comparing their responses.
What is the result of the first question about the capital city of a country ending with 'liia'?
-The 8B model failed to answer correctly, while the 70B and 405B models answered correctly, indicating that the 8B model did not perform as well in this instance.
How did the models perform on the question about the number that rhymes with the word used to describe a tall plant?
-All models, including the 8B, 70B, and 405B, answered correctly that the number is three, as it rhymes with 'tree'.
What was the outcome of the coding-based questions regarding creating an HTML page with a button that explodes confetti?
-The 405B model provided a working solution, while the 8B and 70B models failed to provide a functional code, indicating a clear difference in performance.
Which model performed the best in the coding-based questions?
-The 405B model performed the best in the coding-based questions, with the 8B and 70B models showing some failures in certain tasks.
What was the final conclusion about the performance of the Llama 3.1 models?
-The 8B model showed good performance considering its size, the 70B model was not as impressive, and the 405B model was the best performer, demonstrating high quality and detail in its responses.
Outlines
π Launch of Meta's Llama 3.1 Models
The video discusses the recent launch of Meta's Llama 3.1 models, which include an 8B, 70B, and 405B variant. The 8B and 70B models are updated versions of previous Llama models, while the 405B is a new addition. All models now have a 128k context limit. The 8B and 70B are compared against Gemma, which is not highly regarded, while the 405B is compared to Claude 3.5, Sonet, and GPT-40, and is claimed to be on par with them. The video also mentions the updated pricing for these models, with the 8B costing 20 cents, the 70B costing 90 cents, and the 405B costing $3. The 405B model is available on Meta's platform, but the others are not, and they are also available on Hugging Face and AMA. The video host plans to test all models using the Nvidia Nims platform due to its ease of use and no requirement to sign up for a Facebook account.
π Testing Llama Models with 12 Questions
The video script outlines a test of the Llama models using 12 questions, which is an increase from the previous nine questions. The questions range from simple logic puzzles to coding challenges. The 8B model fails on the question about the capital city ending with 'liia' and the question about Sally's sisters. The 70B model also fails on the Sally's sisters question but passes others. The 405B model performs well, passing all questions except for the one about the regular hexagon's long diagonal. The coding-based questions include creating an HTML page with a confetti button, a Python program for leap years, and SVG code for a butterfly. The 405B model excels in the HTML and leap years tasks but fails in generating the butterfly SVG. The 8B and 70B models also fail in the butterfly SVG task, but succeed in creating a landing page for an AI company and a game of life in Python.
π Summary of Model Performance
The video concludes with a summary of the Llama models' performance. The 8B model passed six out of twelve questions, the 70B model passed eight, and the 405B model passed ten. The host concludes that the 8B model is impressive given its size, but the 70B model underperformed relative to its size. The 405B model is highlighted for its quality and detail in responses. The host also mentions that the Mistral 12B model is on par with the 70B model but is seven times smaller, making it a more efficient choice. The video ends with a call to action for viewers to share their thoughts and support the channel.
Mindmap
Keywords
π‘Llama-3.1
π‘AI Models
π‘Context Limit
π‘Benchmarks
π‘Pricing
π‘Open Source
π‘Nvidia Nims
π‘Coding Tasks
π‘Leap Years
π‘Game of Life
π‘Landing Page
Highlights
Meta has launched three new models under the Llama 3.1 banner: 8B, 70B, and 405B variants.
The 8B and 70B models are newly trained and updated versions of the Llama 3 models.
The 405B model is a new addition to the Llama 3.1 series.
All models now have a 128k context limit.
The 8B and 70B models are compared against Gemma, which is considered to perform poorly.
The 405B model is compared against Claude 3.5 Sonet and GPT-40 and is claimed to be on par with them.
Pricing for the models has been updated: 8B costs 20 cents, 70B costs 90 cents, and 405B costs $3.
The 405B model is available on Meta's platform for users to try out.
The other models are not available on Meta's platform.
The models are open source and available on Hugging Face and AMA.
The 8B model failed to answer the question about the capital city of a country ending with 'liia'.
The 70B and 405B models correctly answered the question about the capital city ending with 'liia'.
All three models correctly answered the question about the number that rhymes with the word for a tall plant.
All models correctly answered the question about the total number of pencils John has.
All models correctly answered the question about the number of candies Lucy has.
The 8B and 70B models failed the question about the number of apples left after baking a pie.
The 405B model correctly answered the question about the number of apples left after baking a pie.
The 8B and 70B models failed the question about the number of sisters Sally has.
The 405B model correctly answered the question about the number of sisters Sally has.
The 8B and 70B models failed the question about the long diagonal of a regular hexagon with a short diagonal of 64.
The 405B model correctly answered the question about the long diagonal of a regular hexagon.
The 8B and 70B models failed to create a working HTML page with a button that explodes confetti.
The 405B model successfully created a working HTML page with a button that explodes confetti.
All models correctly created a Python program that prints the next X leap years based on user input.
The 8B and 70B models failed to generate SVG code for a butterfly.
The 405B model also failed to generate SVG code for a butterfly.
All models correctly created a landing page for an AI company.
The 8B and 70B models correctly created a game of life in Python that works on the terminal.
The 405B model failed to create a working game of life in Python for the terminal.
The 8B model passed in six questions out of 12.
The 70B model passed in eight questions out of 12.
The 405B model passed in ten questions out of 12.
The 405B model is considered to have high quality and detail in its responses.
The 70B model is not as good as the 8B model, despite being larger in size.
The 8B and 405B models are the real winners among the new Llama 3.1 models.