How to Download Llama 3 Models (8 Easy Ways to access Llama-3)!!!!

1littlecoder
18 Apr 202411:21

TLDRThe video provides eight different methods to access the newly released Llama 3 models from Meta AI. It starts with the most official and legal way, which involves visiting 'l.a. comom llama downloads' and submitting personal information to download the model. The video also mentions downloading models from Hugging Face's official Meta AI page and using Kaggle. For those who prefer a shortcut, the video suggests using quantized formats available on platforms like News Research or through AMA by simply typing 'o Lama run Llama 3'. The video further discusses using the model on a local machine with tools like 'pip install mlx, LM' for Macbooks with Apple silicon. It also touches on Meta's new platform for generating images and chatting with the system in real-time. Lastly, it highlights using Hugging Face Chat and Perplexity Labs for quick access to the models without installation. The video concludes by offering to create a video about production-level paid APIs if there's interest.

Takeaways

  • 📚 To download the Llama 3 model officially, you must visit the website llama.com/downloads and provide personal details to access the model.
  • 🤖 The Hugging Face official page for Meta AI offers the 8 billion and 70 billion parameter models, requiring contact information for access.
  • 📊 Kaggle offers the model weights, but you need to fill out a form to gain access, with the added benefit of GPU support for running the model.
  • 🚀 For a hassle-free experience, you can use the quantized format of the model on your local computer with llama CPP or by accessing it from the news.research organization page.
  • 🔍 AMA (Assistant Model Access) is a convenient way to download the 8 billion parameter model in a 4-bit quantized format, though the download speed may be slow.
  • 📝 The model's ability to follow instructions is demonstrated by its correct response to a complex question and its adherence to a request for sentences ending with 'sorry'.
  • 📱 For Macbook users with Apple Silicon, the quantized version of the model is available in the mlx format through the mlx,LM library.
  • 🌐 Meta has launched a new platform for interacting with AI models, but it's not accessible in all regions and requires a Facebook account.
  • 💬 Hugging Face Chat provides a web interface to use the Llama 3 model, with the option to choose between 8 billion and 70 billion parameter models.
  • 🔧 Perplexity Labs hosts both the 8 billion and 70 billion parameter instruct models, offering a fast and straightforward way to interact with the models.
  • 🆓 All the mentioned methods are free ways to access the Llama 3 models, allowing users to download, host, or chat with the models without cost.

Q & A

  • What is the official website to download the Llama 3 models?

    -The official website to download the Llama 3 models is llama.comom, which is specifically for llama downloads.

  • What personal information is required to download the Llama 3 model from the official website?

    -To download the Llama 3 model from the official website, you need to provide your first name, last name, date of birth, email, country, and affiliation.

  • What are the different model versions available for download from the Hugging Face official Meta Llama page?

    -From the Hugging Face official Meta Llama page, you can download the 8 billion parameter model, the 70 billion parameter model, as well as other models like Llama God, including both the instruction and base model versions.

  • How can one use the Llama 3 models with Kaggle?

    -To use the Llama 3 models with Kaggle, you need to submit a form on Kaggle to gain access to the model weights. Once you have access, you can create Kaggle notebooks which include GPU support to run the models.

  • What is a shortcut to use the Llama 3 models without going through official channels?

    -A shortcut to use the Llama 3 models is to download them in a quantized format from the 'news.research' organization page on Hugging Face, which has uploaded both the full-size and quantized models without requiring form submission.

  • How can one use the Llama 3 models using the `ama` command?

    -To use the Llama 3 models with the `ama` command, you need to have `ama` installed. Then, you can use the command `ama run Llama 3` to download the 8 billion parameter model in the 4bit quantized format.

  • What is the significance of the question about Sally and her brothers and sisters in testing the Llama 3 model?

    -The question about Sally and her brothers and sisters is used to test the model's ability to understand and answer complex family relationship questions. The Llama 3 model correctly answered this question, which is a good sign of its comprehension abilities.

  • How can one download the 70 billion parameter model using the `ama` command?

    -To download the 70 billion parameter model using the `ama` command, you add a colon after 'ama run Llama 3' and then specify '70b', which will download the model in the quantized file format.

  • What is the advantage of using the quantized version of the Llama 3 model on a MacBook with Apple Silicon?

    -The quantized version of the Llama 3 model can be used with the `mlx, LM` library, which is optimized for Apple Silicon. This allows for efficient use of the model on MacBooks with Apple Silicon processors.

  • What is the new platform launched by Meta AI for generating images and chatting with the system?

    -The new platform launched by Meta AI is not named in the transcript, but it is described as a platform where users can generate images, chat with the system, and even generate images in real-time.

  • How can one access the Llama 3 models on Hugging Face Chat?

    -To access the Llama 3 models on Hugging Face Chat, you go to the settings, select the model, and choose 'Llama 3' as the active model. This allows you to use the model directly within the chat interface.

  • What is the benefit of using the Llama 3 models on Perplexity Labs?

    -Perplexity Labs has hosted both the 8 billion parameter and the 70 billion parameter instruct models of Llama 3. This allows users to try out the models without installing anything, and the platform is noted for its fast response times.

Outlines

00:00

📚 Accessing the New LLaMa 3 Models

This paragraph discusses various methods to access the newly released LLaMa 3 models from Meta AI. It emphasizes the importance of using legal and official methods, while also acknowledging some 'hacky' ways. The speaker shares their personal experience with downloading the model from the official website, which requires providing personal information and accepting terms of service. The paragraph also mentions alternative ways to access the model, such as through Hugging Face, Kaggle, and using quantized formats locally with LLaMa CPP or by accessing the model from the Hugging Face Model Hub without needing a Hugging Face token. The speaker offers to create a Google Colab for the audience to use the model and invites comments for further assistance.

05:03

🤖 Testing and Using LLaMa 3

The speaker provides a demonstration of the LLaMa 3 model's capabilities by asking it questions and giving it instructions. They test the model's ability to understand and answer a family-related question, as well as its capacity to follow instructions by generating sentences that end with 'sorry'. The paragraph also covers how to download different parameter models (8 billion and 70 billion) using the `o Lama` command. The speaker discusses the use of the model on local machines, particularly on MacBooks with Apple Silicon, using the `pip install mlx,LM` command. They also mention the new platform launched by Meta, which is not available in their country, and express their reluctance to create a Facebook account just to use the model. The paragraph concludes with a mention of Hugging Face Chat, where the LLaMa 3 model can be accessed and tested in a web interface.

10:03

🚀 Exploring Additional Access Methods for LLaMa 3

The final paragraph outlines additional ways to access and use the LLaMa 3 models. It introduces Perplexity Labs as a platform where both the 8 billion and 70 billion parameter instruct models are available for testing. The speaker demonstrates the speed and efficiency of Perplexity Labs by pasting a question and receiving a rapid response. They also compare the token processing speed between the 70 billion and 8 billion parameter models, noting a preference for the latter, possibly due to GPU constraints. The paragraph concludes by summarizing the different methods presented for accessing the LLaMa 3 models for free and invites viewers to request a video on production-level, paid APIs if interested.

Mindmap

Keywords

💡Llama 3 Models

Llama 3 Models refer to the latest versions of AI models developed by Meta AI. These models are significant in the video as they are the central topic being discussed. The video outlines various methods to access and utilize these models for different purposes, such as natural language processing tasks.

💡Legal and Official Access

This term refers to the proper and sanctioned way to obtain and use the Llama 3 Models. In the context of the video, it involves visiting the official website, providing personal details, and agreeing to terms and conditions. It ensures that users are accessing the models in a manner that respects copyright and usage policies.

💡Hugging Face

Hugging Face is mentioned as a platform where users can download various AI models, including the Llama 3 Models. It is an open-source library that provides state-of-the-art machine learning models for natural language processing. In the video, it is one of the places where users can access the models both officially and through community uploads.

💡Kaggle

Kaggle is an online platform for data science and machine learning that is referenced in the video as another source for accessing the Llama 3 Models. It allows users to compete in competitions, share code, and access datasets. The video suggests that users can use Kaggle to access the model weights and utilize the platform's GPU capabilities.

💡Quantized Format

Quantization in the context of AI models refers to the process of reducing the precision of the model's parameters to use less memory and computational resources. The video discusses accessing the Llama 3 Models in a quantized format, which makes them more efficient to run on local machines or specific platforms like AMA.

💡AMA (Assistant Model Access)

AMA is a command used to download and run AI models, specifically mentioned in the video for obtaining the Llama 3 Models in a quantized format. It is a tool that simplifies the process of using AI models by handling the complexities of model access and execution.

💡MLX Community

The MLX Community is mentioned as providing a quantized version of the Llama 3 Models for use on Apple Silicon. This community is focused on machine learning and offers tools and resources for developers and researchers. The video highlights the community's contribution to making the models more accessible on specific hardware.

💡Facebook Account

The video discusses a new platform launched by Meta, which requires a Facebook account to access certain features. This is mentioned as a potential way to use the Llama 3 Models but is noted as a barrier for the video's creator due to personal preferences and the requirement of a Facebook login.

💡Hugging Face Chat

Hugging Face Chat is a web interface mentioned in the video where users can interact with AI models, including the Llama 3 Models. It allows users to chat with the system and test the capabilities of the models without the need for local installation or setup.

💡Perplexity Labs

Perplexity Labs is a platform that hosts various AI models, including the Llama 3 Models. The video highlights it as a place where users can access and experiment with the models without the need for complex setup processes. It is noted for its fast response times and ease of use.

💡Parameter Model

In the context of AI, a parameter model refers to the size and complexity of the model, often indicated by the number of parameters it contains. The video discusses two versions of the Llama 3 Models: an 8 billion parameter model and a 70 billion parameter model, highlighting differences in their performance and usage.

Highlights

Eight different ways to access the newly released Llama 3 models are presented.

The most legal and official way to download the Llama 3 model involves visiting llama.com and providing personal information.

Hugging Face's official Meta Llama page allows downloading various models, including the 8 billion and 70 billion parameter models.

Kaggle offers access to the model weights after form submission and provides GPU support for using the 8 billion parameter model.

Quantized formats of the model are available for local use without the need for form submission.

AMA (AllenNLP's Model Archive) can be used to download the 8 billion parameter model in a 4-bit quantized format.

Llama 3 demonstrates strong performance in following instructions and understanding context, as shown in the example of generating sentences ending with 'sorry'.

The 70 billion parameter model can be downloaded using a specific command in AMA, offering a larger model size for more complex tasks.

For Macbook users with Apple Silicon, a quantized version in MLX format is available through the MLX community.

Meta's new platform, accessible with a Facebook account, offers real-time interaction with the Llama 3 model.

Hugging Face Chat provides an interface to use Llama 3 models, including the 70 billion parameter version, without installation.

Perplexity Labs hosts both the 8 billion and 70 billion parameter instruct models for fast and easy access.

The 8 billion parameter model is noted for its speed and efficiency, especially suitable for users with limited GPU resources.

The transcript provides a comprehensive guide on how to legally and unofficially access and use Llama 3 models.

The author offers to create a video about production-level paid APIs if there is interest from the audience.

All the mentioned ways allow users to download, host, and interact with Llama 3 models for free.

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