The Llama 3.2 collection includes two large models, 11B and 90B, which support image reasoning use cases like document-level understanding, image captioning, and visual grounding tasks. These models can interpret charts and graphs, pinpoint objects in images based on descriptions, and generate captions for images, making them highly versatile for various applications.
Description: Llama 3.2 models bridging the gap between vision and language.
The lightweight models, 1B and 3B, excel in multilingual text generation and tool calling abilities, enabling the creation of personalized, on-device applications with strong privacy features. These models can summarize messages, extract action items, and send calendar invites, all while keeping data on the device, ensuring privacy and quick response times.
Model Evaluations
Our evaluations indicate that the Llama 3.2 vision models are competitive with leading models like Claude 3 Haiku and GPT4o-mini in image recognition and visual understanding tasks. The 3B model outperforms other models in tasks such as instruction following, summarization, and tool use, while the 1B model holds its own against similar models.
Vision Models
The 11B and 90B models are the first Llama models to support vision tasks. They required a new model architecture that integrates a pre-trained image encoder into the language model. This architecture allows the models to understand and reason with both image and text prompts, making them highly capable for a variety of tasks.
Description: Llama 3.2 vision models supporting image reasoning tasks.
Lightweight Models
The 1B and 3B models were created using pruning and distillation techniques, making them efficient enough to run on devices while retaining high performance. These models can handle tasks like summarization, rewriting, and language reasoning, making them ideal for on-device applications.
Llama Stack Distributions
In July, we introduced the Llama Stack API, a standardized interface for customizing Llama models and building agentic applications. We've now made the API real, with a reference implementation for inference, tool use, and RAG. This simplifies the process for developers to work with Llama models across various environments, including on-prem, cloud, and on-device.
System Level Safety
Our open approach ensures that AI technology is accessible, equitable, and safe. We continue to innovate responsibly, adding new safeguards to our models and providing tools for developers to build safe systems.
Try Llama 3.2 Today
Llama 3.2 is now available for download and development, offering exciting new use cases and tools for developers. We believe that openness drives innovation and benefits everyone, and we're eager to see what the community builds with Llama 3.2 and Llama Stack.
Remember these 3 key ideas for your startup:
Openness Drives Innovation: By making Llama 3.2 models available for download and development, Meta is fostering an environment where innovation can thrive. This openness allows startups to leverage cutting-edge AI technology without significant upfront costs. For more on how openness can drive innovation, check out this guide.
Privacy and Efficiency: The lightweight models (1B and 3B) enable on-device processing, ensuring data privacy and quick response times. This is crucial for startups that handle sensitive information and need to provide fast, reliable services to their users. Learn more about how to effectively assign tasks to team members.
Versatile Applications: The vision models (11B and 90B) support a wide range of tasks, from image captioning to visual grounding. This versatility allows startups to develop diverse applications, enhancing their product offerings and reaching a broader audience. Discover the best productivity hacks to get your work done efficiently.
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