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Llama

1994

Llama: Versatile Open-Source AI Models for Every Developer

Explore Llama's open-source AI models, providing accessible fine-tuning, deployment, and scalability for diverse applications at a reduced cost.

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Location:	Menlo Park, United States of America

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Features

Multilingual Models: Llama offers multilingual text models in varying sizes, enabling efficient deployment across different languages and use cases.
Lightweight & Multimodal Capabilities: The lightweight Llama 3.2 facilitates on-device applications, while the 11B and 90B multimodal models advance image reasoning.
Performance at Reduced Costs: Llama 3.3 provides leading performance akin to the 3.1 405B model, optimizing quality and cost-effectiveness in text applications.
Interoperability and Support: Llama Stack offers a seamless developer experience through a common API, with support for agentic functionality and ecosystem interoperability.

Use Cases:

On-Device Application: Use 1B or 3B models for mobile applications like discussion summarization and calendar integration directly on your device.
Image Processing: Leverage 11B and 90B models for transforming images or acquiring detailed information from your environment's images.
Enterprise Solutions: Developers can build comprehensive AI applications with Llama Stack, simplifying AI adoption in enterprises across varied use cases.

Llama's open-source models, enhanced by the Llama Stack, empower developers with flexibility and efficiency, fostering AI integration across platforms while maintaining cost-effectiveness.