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

1littlecoder
18 Apr 202411:21

TLDRThe video outlines eight methods to access the newly released Llama 3 models from Meta AI, ranging from the most official and legal to more unconventional approaches. The first method involves visiting the official Llama downloads website and providing personal information to gain access to the models. The second method is through Hugging Face's official Meta AI page, where users can download various models after agreeing to share contact details. Kaggle is another platform where the model weights are available upon form submission. For a quicker route, users can utilize quantized formats through platforms like llama CPP or by accessing the models directly from the News Research organization page without filling out forms. Additionally, the AMA platform allows for easy downloading and use of the quantized model. For local machine use, especially on Macbooks with Apple silicon, the quantized version in the MLX format is available through the mlx, LM package. Lastly, the video mentions the new met.aai platform by Meta, which offers real-time image and text generation, and Hugging Face Chat, which provides access to the Llama 3 models. Perplexity Labs also hosts both the 8 billion and 70 billion parameter models for immediate use. The video concludes by offering to create a video on production-level paid APIs if there's interest.

Takeaways

  • πŸ“š The most official way to download the Llama 3 model is through the website llama.com/downloads, where you must provide personal details and accept terms of service.
  • πŸ€– The Hugging Face platform offers the Meta Llama models, including the 8 billion and 70 billion parameter models, requiring contact information for access.
  • πŸ“Š Kaggle provides access to the model weights, but requires form submission for access, and allows for model use with GPU support.
  • πŸš€ For a shortcut, the quantized format of the model can be used locally via llama CPP or by accessing the model on the News Research organization page on Hugging Face.
  • πŸ” AMA (Ask Me Anything) is a simple way to download the 8 billion parameter model in quantized format by using the command 'ama run Llama 3'.
  • πŸ’» For Macbook users, the quantized version in MLX format is available through the mlxlm library, which is optimized for Apple Silicon.
  • 🌐 Meta AI has launched a new platform where users can interact with AI models, but it requires a Facebook account and may not be available in all regions.
  • 🀝 Hugging Face Chat offers an interface to interact with the Llama 3 models, including the 70 billion parameter model without quantization loss.
  • 🧩 Perplexity Labs hosts both the 8 billion and 70 billion parameter instruct models, offering a fast and accessible way to try out the models.
  • πŸ“ˆ The 8 billion parameter model is noted for its speed and efficiency, making it a preferred choice for users with limited GPU resources.
  • πŸ“ The script provides examples of the model's capabilities, such as following instructions and answering complex questions correctly.

Q & A

  • What is the most official way to download the Llama 3 model?

    -The most official way to download the Llama 3 model is to visit the website llama.com/downloads, where you need to provide your personal details and select the model you want. After accepting the terms and conditions, you will receive an email with the download link and instructions on how to run the model.

  • How can I download Llama 3 models from Hugging Face?

    -You can download both the 8 billion parameter and 70 billion parameter models from the Hugging Face's official Meta AI organization page. You need to agree to share your contact information and submit your details to access the models.

  • Is there a way to use Llama 3 models on Kaggle?

    -Yes, the model weights are available on Kaggle. You need to submit a form to access them, and once approved, you can create Kaggle notebooks with GPU support to use the models.

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

    -A shortcut is to use the quantized format of the model, which is available on platforms like llama.cpp or by accessing the model directly from the News Research organization page on Hugging Face Model Hub without needing to submit any form.

  • How can I use Llama 3 models with the AMA tool?

    -You can use the AMA tool by going to AMA and typing 'o Lama run Llama 3' to download the 8 billion parameter model in the 4-bit quantized format. For the 70 billion parameter model, you can add '70b' after the colon.

  • Can Llama 3 models be run on a Macbook?

    -Yes, thanks to the MLX community, there is a quantized version available in the MLX format. You need to install the MLX library and then load and use the model, preferably on a machine with Apple Silicon for optimal performance.

  • What is the new platform launched by Meta for accessing AI models?

    -Meta has launched a new platform where users can generate images and chat with the system in real-time. However, it requires a Facebook account to log in and may not be available in all countries.

  • How can I access Llama 3 models through Hugging Face Chat?

    -You can access Llama 3 models through Hugging Face Chat by going to the settings, selecting the model, and choosing the active model. This allows you to use both the 8 billion and 70 billion parameter models without any quantization loss.

  • Where can I find Llama 3 models hosted for immediate use without installation?

    -Perplexity Labs often uploads models when they become popular. You can visit perplexity.ai, select the model you want from the bottom right corner, and use it directly without any installation.

  • What are the different quantization formats mentioned for Llama 3 models?

    -The different quantization formats mentioned for Llama 3 models include GGUF, GPQ, and AWQ. These formats are used to optimize the model for different platforms and use cases.

  • How does the Llama 3 model perform on following instructions and understanding context?

    -The Llama 3 model demonstrated good performance in following instructions and understanding context during testing. It correctly answered a complex family relationship question and was able to generate sentences ending with 'sorry' as instructed.

  • Are there any plans for creating a video about production-level, paid APIs for using Llama 3 models?

    -The speaker has mentioned that if there is interest, they might create a video about production-level, paid APIs for using Llama 3 models. They invite viewers to express their interest in the comments section.

Outlines

00:00

πŸ“š Official and Legal Access to LLaMa 3 Models

The first paragraph outlines the official and legal methods to access the newly released LLaMa 3 models from Meta AI. It discusses the process of downloading the model from the official website, which requires providing personal information and agreeing to terms and conditions. Additionally, it mentions accessing the model through Hugging Face's official Meta LLaMa page, where various parameter models are available upon sharing contact information. The paragraph also covers using Kaggle to access the model weights after form submission. Lastly, it introduces a shortcut for those who prefer not to go through the official process, by using the quantized format available on platforms like Hugging Face Model Hub without the need for a form submission.

05:03

πŸš€ Exploring Shortcuts and Local Access to LLaMa 3

The second paragraph delves into alternative ways to access and use the LLaMa 3 models, focusing on shortcuts and local access options. It describes using the `ama` command to download the 8 billion parameter model in a quantized format and discusses the model's capabilities based on early testing. The paragraph also covers downloading the 70 billion parameter model using a specific command. It mentions the availability of the quantized version for Macbooks through the `mlx` community and provides instructions for installation and use. Furthermore, it touches on the new platform launched by Meta, which is currently not available in the speaker's country, and the use of Hugging Face Chat for accessing the model without installation.

10:03

🌐 Web Interface Access and Perplexity Labs Option

The third paragraph highlights the web interface access to LLaMa 3 models, specifically through Hugging Face Chat, where users can select the model and use it without any compression loss. It contrasts the experience of using the quantized version locally with the full model available on the web interface. The paragraph also introduces Perplexity Labs as a platform for accessing both the 8 billion and 70 billion parameter instruct models without installation. It demonstrates the speed and efficiency of using these models on Perplexity Labs and concludes with an invitation for viewers to explore production-level paid APIs and to share their interest in a follow-up video.

Mindmap

Keywords

πŸ’‘Llama 3 Models

Llama 3 Models refer to the latest AI models released by Meta AI. These models are significant in the video as they are the central topic around which the entire discussion revolves. The video provides various methods to access these models, highlighting their importance in the field of artificial intelligence.

πŸ’‘Meta AI

Meta AI is the organization responsible for developing the Llama 3 models. It is mentioned as the source for the official and legal ways to download these models. The video emphasizes the role of Meta AI in setting the standards for accessing their AI models.

πŸ’‘Hugging Face

Hugging Face is a platform mentioned in the video where users can download different versions of the Llama 3 models. It represents an alternative source for accessing these AI models and is part of the discussion on legal ways to obtain them.

πŸ’‘Kaggle

Kaggle is an online community for data scientists and machine learners. It is highlighted in the video as another platform where the Llama 3 model weights are available for use, emphasizing its utility for those looking to experiment with these models.

πŸ’‘Quantized Format

The term 'Quantized Format' refers to a method of compressing AI models to make them more efficient for use on local machines. In the context of the video, it is a way to use the Llama 3 models without the need for extensive computational resources.

πŸ’‘AMA (All-Model-AI)

AMA, or All-Model-AI, is a command-line tool that allows users to download and use various AI models, including the Llama 3 models. It is presented in the video as a convenient way to access and run these models locally.

πŸ’‘MLX Community

The MLX Community is responsible for creating a quantized version of the Llama 3 models in the MLX format, which is particularly useful for users with Apple Silicon. The video discusses this as an option for those wanting to run the models on a Macbook.

πŸ’‘Perplexity Labs

Perplexity Labs is mentioned as a platform that hosts various AI models, including the Llama 3 models, for easy access and use. It is highlighted for its fast response times and the availability of both the 8 billion and 70 billion parameter models.

πŸ’‘Hugging Face Chat

Hugging Face Chat is an interface provided by Hugging Face that allows users to interact with AI models without the need for installation. The video discusses its use for accessing the Llama 3 models, emphasizing its convenience.

πŸ’‘Parameter Model

A 'Parameter Model' in the context of AI refers to the size and complexity of the model, with the number of parameters indicating the amount of information the model has learned. The video discusses both the 8 billion and 70 billion parameter models of Llama 3, showcasing different sizes and their respective capabilities.

πŸ’‘Token

In the context of AI and natural language processing, a 'Token' represents a unit of meaning, such as a word or a punctuation mark. The video uses the term to describe the output of the AI model, with discussions on the speed of token generation per second as a measure of the model's performance.

Highlights

The Llama 3 models can be accessed through various methods, both official and unofficial.

The most legal way to download Llama 3 models is through the website llama.com/downloads.

To download from the official site, you must provide personal information including name, email, and country.

Hugging Face's official Meta Llama page offers downloads of the 8 billion and 70 billion parameter models.

Kaggle also hosts the model weights and requires form submission for access.

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

AMA (AllenNLP's Model Assets) can be used to download the 8 billion parameter model in quantized format.

Llama 3 can correctly follow instructions and answer complex questions, such as a family-related query about siblings.

For Macbooks with Apple Silicon, the mlx community provides a quantized version of Llama 3.

Meta has launched a new platform for generating images and chatting with the system in real time.

Hugging Face Chat offers an interface to use Llama 3 models, including the 70 billion parameter version.

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

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

All the mentioned methods allow free access to the Llama 3 models for personal or professional use.

The video also offers to create a guide for production-level, paid APIs if there is audience interest.

The transcript provides a comprehensive guide to accessing and using the Llama 3 models through various platforms and methods.

The Llama 3 models are compatible with different quantization formats like GGUF and can be used on various devices.

The video demonstrates the practical use of Llama 3 through interactive examples and tests its capabilities.