Unleash the Power of Llama 3.1: 405B, 70B & 8B Models

Meta is excited to announce the release of the Llama 3.1 model family, including the groundbreaking 405 billion parameter model, as well as updated 8 billion and 70 billion parameter models. This represents the largest and most capable open-source language model ever released.

The 405 billion parameter model offers significant improvements in reasoning, tool use, multilingualism, and context window size. The latest benchmark results exceed the performance previewed earlier this year. Meta encourages users to review the details in the newly published research paper.

Alongside the 405b model, Meta is also releasing updated 8B and 70B models, designed to support a wide range of use cases, from enthusiasts and startups to enterprises and research labs. These models boast impressive performance and notable new capabilities, including an expanded 128k token context window, generation of tool calls, and improved reasoning abilities.

To further its commitment to open-source AI, Meta has updated the licensing for these models, allowing developers to use the outputs to improve other models, including through synthetic data generation and distillation. This enables new possibilities for creating highly capable smaller models and advancing AI research.

The Llama 3.1 models are now available to Meta AI users, with plans to bring the new capabilities to users across Facebook, Messenger, WhatsApp, and Instagram. Meta is taking steps to make open-source AI the industry standard, with the goal of enabling ecosystems to thrive and solve global challenges.

The newly released Llama 3.1 405 billion parameter model is a groundbreaking achievement, setting a new standard for open-source AI models. This colossal model boasts unparalleled capabilities, surpassing previous benchmarks and offering significant improvements in reasoning, tool use, and multilingual performance.

The 405 billion parameter model is the largest open-source model ever released, dwarfing previous offerings. This model delivers impressive advancements, including a larger context window of 128k tokens, enabling it to work seamlessly with extensive code bases and detailed reference materials.

Llama 3.1 has been trained to generate tool calls for specific functions, such as search, code execution, and mathematical reasoning, further enhancing its problem-solving and decision-making abilities. The model's zero-shot tool usage capabilities and improved reasoning make it a powerful tool for a wide range of applications.

Recognizing the importance of safety and helpfulness, the Llama 3.1 release incorporates updates to the system-level approach, allowing developers to strike a balance between these crucial factors. The model is now available for deployment across various platforms, including AWS, Databricks, NVIDIA, and Gro, making it accessible to a broader audience.

The latest Llama 3.1 release includes updated 8B and 70B models that offer impressive performance and notable new capabilities. Based on feedback from the community, the context window of these models has been expanded to 128k tokens, enabling them to work with larger code bases or more detailed reference materials.

These updated 8B and 70B models have been trained to generate tool calls for specific functions, such as search, code execution, and mathematical reasoning. They also support zero-shot tool usage and improved reasoning, which enhances their decision-making and problem-solving abilities.

Furthermore, the system-level approach has been updated to make it easier for developers to balance helpfulness with the need for safety. These models are now available for deployment across various partners, including AWS, Databricks, NVIDIA, and Gro, in addition to running locally.

The latest Llama 3.1 models, including the 405 billion parameter model, offer significant improvements in tool usage, reasoning, and safety. The models have been trained to generate tool calls for specific functions like search, code execution, and mathematical reasoning, enabling users to leverage these capabilities seamlessly. Additionally, the models support zero-shot tool usage, allowing them to apply their reasoning abilities to a wide range of tasks without the need for explicit training.

The expanded context window of 128k tokens enables the models to work with larger code bases or more detailed reference materials, enhancing their ability to reason and problem-solve. These improvements in reasoning capabilities translate to better decision-making and problem-solving skills, making the Llama 3.1 models more versatile and effective in a variety of applications.

Furthermore, the team has worked closely with partners to ensure that the deployment of Llama 3.1 across platforms like AWS, Databricks, NVIDIA, and Gro is seamless. This integration with leading cloud and AI platforms will make it easier for developers to access and utilize the enhanced capabilities of the Llama 3.1 models.

Lastly, the updated license for the Llama 3.1 models allows developers to use the outputs to improve other models, including the 405 billion parameter model. This open-source approach enables new possibilities for creating highly capable smaller models and advancing AI research, further solidifying Meta's commitment to the open-source AI ecosystem.

We're excited to announce that the new Llama 3.1 models, including the 405 billion parameter model, are now available for deployment across a range of partner platforms. In addition to running the models locally, developers will now be able to access Llama 3.1 through AWS, Databricks, NVIDIA, and other leading cloud and AI infrastructure providers.

This collaborative deployment approach aligns with our commitment to making Llama accessible to a wide range of users, from enthusiasts and startups to enterprises and research labs. By partnering with these industry leaders, we're enabling seamless integration of Llama 3.1 into a variety of workflows and use cases, empowering the developer community to build innovative applications and solutions.

The expanded context window of 128k tokens in these new Llama 3.1 models will enable users to work with larger code bases, more detailed reference materials, and more complex tasks. Additionally, the models' improved reasoning capabilities and support for zero-shot tool usage will enhance decision-making and problem-solving abilities across a diverse range of applications.

We're excited to see what the community will build with Llama 3.1, and we look forward to continuing to collaborate with our partners to drive the advancement of open-source AI technology.

At Meta, we believe in the power of open-source and are committed to furthering our contribution to the community with the release of Llama 3.1. With the updated license, developers can now use the outputs from the 405B model to improve other models, enabling new possibilities for creating highly capable smaller models and advancing AI research.

We expect synthetic data generation and distillation to be popular use cases, allowing the community to build upon our work and push the boundaries of what's possible with open-source AI. By making Llama 3.1 available across partners like AWS, Databricks, NVIDIA, and Gro, we're ensuring that developers and researchers have easy access to this powerful model, further driving innovation and collaboration.

Our goal is to make open-source AI the industry standard, continuing our commitment to a future where greater access to AI models can help ecosystems thrive and solve the world's most pressing challenges. We look forward to the feedback and contributions from the developer community as they build upon the capabilities of Llama.

The release of Llama 3.1 with the 405 billion parameter model, along with the updated 8B and 70B models, represents a significant milestone in the advancement of open-source AI. This model exceeds the performance previewed earlier this year and offers impressive capabilities, including improved reasoning, tool use, and multilingualism.

The expanded context window of 128k tokens enables the models to work with larger code bases and reference materials, further enhancing their utility. The addition of zero-shot tool usage and improved reasoning capabilities will enable better decision-making and problem-solving.

Meta's commitment to open-source AI is evident in the updated license, which allows developers to use the model outputs to improve other models, including through synthetic data generation and distillation. This will enable the creation of highly capable smaller models and further the progress of AI research.

The rollout of Llama 3.1 to Meta AI users, and its integration into Facebook Messenger, WhatsApp, and Instagram, will bring these advancements to a wider audience. Meta's vision of open-source AI becoming the industry standard is a step closer with this release, as the developer community is empowered to build innovative solutions that can help address the world's most pressing challenges.