Meta's Llama 3.1 models, including the groundbreaking 405B model, are now available as open-source. These models offer enhanced capabilities in general knowledge, multilingual translation, and tool use. The 405B model, trained on 15 trillion tokens, sets a new standard for open AI with applications in synthetic data generation and model distillation. Meta provides extensive support for developers, including new safety tools and a request for comments on the Llama Stack API for broader ecosystem integration. The models are available for immediate development on platforms like AWS and Hugging Face.
Llama is an accessible, open large language model (LLM) designed for developers, researchers, and businesses to build, experiment, and responsibly scale their generative AI ideas. Part of a foundational system, it serves as a bedrock for innovation in the global community. A few key aspects:
- Open access: Easy accessibility to cutting-edge large language models, fostering collaboration and advancements among developers, researchers, and organizations
- Broad ecosystem: Llama models have been downloaded hundreds of millions of times, there are thousands of community projects built on Llama and platform support is broad from cloud providers to startups - the world is building with Llama!
- Trust & safety: Llama models are part of a comprehensive approach to trust and safety, releasing models and tools that are designed to enable community collaboration and encourage the standardization of the development and usage of trust and safety tools for generative AI
Our mission is to empower individuals and industry through this opportunity while fostering an environment of discovery and ethical AI advancements. The model weights are licensed for researchers and commercial entities, upholding the principles of openness.
Meta's Llama 3.1 models are now available on AWS via Amazon Bedrock and SageMaker. These advanced language models, available in 8B, 70B, and 405B sizes, support various AI applications like text summarization, sentiment analysis, and language translation. The 405B model sets a new standard for generative AI, offering enhanced contextual understanding and multilingual capabilities. AWS provides easy access, fine-tuning, and deployment options, allowing customers to leverage Llama 3.1 models' capabilities without managing infrastructure.
Meta CEO Mark Zuckerberg advocates for open-source AI, likening its potential to the success of Linux. He announces the release of Llama 3.1, including the advanced 405B model, emphasizing benefits like cost efficiency, modifiability, and enhanced security. Meta collaborates with Amazon, Databricks, Nvidia, and others to support a broad AI ecosystem. Open-source AI is seen as crucial for innovation, security, and global accessibility, promoting a competitive and transparent development environment.
Get Started
Meta's guide for running Llama models on Windows outlines the setup process, including necessary hardware and software installations. The tutorial uses an RTX 4090 GPU, Nvidia drivers, Hugging Face APIs, and libraries like transformers and accelerate. It provides step-by-step instructions for downloading model weights, setting up a Python environment, and running inference using the 8B Instruct model. The guide emphasizes ease of integration and offers additional resources for further customization and experimentation. https://llama.meta.com/docs/llama-everywhere/running-meta-llama-on-windows/
The Llama Agentic System repository on GitHub provides tools and instructions for running Meta's Llama 3.1 models capable of agentic tasks like multi-step reasoning and tool use. It includes installation guides, configuration for inference servers, and setting up agentic applications. The system integrates safety features via Llama Guard for input and output filtering. The repository supports experimenting with various configurations and tools, emphasizing safety and flexibility in AI model usage.
Meta emphasizes the responsible release of its Llama 3.1 AI models, highlighting the importance of open-source AI for innovation, security, and accessibility. The article details measures like pre-deployment risk assessments, safety evaluations, and red teaming to mitigate risks such as cybersecurity threats, misuse of AI in chemical/biological contexts, and child safety concerns. New tools like Llama Guard 3 and Prompt Guard are introduced to enhance model safety and moderation. Meta collaborates with various partners to ensure the safe and responsible deployment of AI technologies.
Modern artificial intelligence (AI) systems are powered by foundation models. This paper presents a new set of foundation models, called Llama 3. It is a herd of language models that natively support multilinguality, coding, reasoning, and tool usage. Our largest model is a dense Transformer with 405B parameters and a context window of up to 128K tokens. This paper presents an extensive empirical evaluation of Llama 3. We find that Llama 3 delivers comparable quality to leading language models such as GPT-4 on a plethora of tasks. We publicly release Llama 3, including pre-trained and post-trained versions of the 405B parameter language model and our Llama Guard 3 model for input and output safety. The paper also presents the results of experiments in which we integrate image, video, and speech capabilities into Llama 3 via a compositional approach. We observe this approach performs competitively with the state-of-the-art on image, video, and speech recognition tasks. The resulting models are not yet being broadly released as they are still under development.
Conclusion:
Meta's Llama 3 platform democratizes AI by offering open-source language models and tools for developers, researchers, and businesses. Key features include Llama 3 for generative AI, Code Llama for coding, and Llama Guard for trust and safety. The platform supports research and commercial use, providing resources like a getting started guide and responsible use guidelines. It emphasizes community involvement and partnerships to drive innovation in AI.
References:
https://www.aboutamazon.com/news/aws/meta-llama-3-1-models-aws-generative-ai
https://ai.meta.com/blog/meta-llama-3-1
https://ai.meta.com/research/publications/the-llama-3-herd-of-models/