Llama Introduction
LLaMA (Large Language Model Meta AI) is Meta's open-source family of large language models offering scalable, multilingual, and multimodal capabilities that can be fine-tuned, distilled and deployed anywhere.
View MoreWhat is Llama
LLaMA is a series of advanced artificial intelligence language models developed by Meta (formerly Facebook). Starting with LLaMA 1 in 2023 and evolving through LLaMA 2 to the current LLaMA 3 series, these models are designed to process and generate human-like text while supporting multiple languages. What sets LLaMA apart is its open-source nature, allowing researchers, developers, and organizations to freely access, modify, and build upon its capabilities, making it a cornerstone of democratized AI development.
How does Llama work?
LLaMA operates through a sophisticated transformer architecture, employing features like RMSNorm for pre-normalization, SwiGLU activation function, and rotated position embeddings (RoPE). The latest versions include both text-only models (ranging from 1B to 405B parameters) and multimodal models (11B and 90B parameters) capable of processing both text and images. The system is distributed through the Llama Stack, which provides a standardized API and supports multiple programming languages including Python, Node, Kotlin, and Swift. Models can be deployed across various environments - from cloud servers to edge devices - and include features like tool calling, safety guardrails, and retrieval augmented generation.
Benefits of Llama
LLaMA offers significant advantages for AI development and deployment. Its open-source nature dramatically reduces costs while providing flexibility for customization and innovation. The variety of model sizes allows users to choose the right balance between performance and computational requirements, from lightweight mobile applications to powerful enterprise solutions. The multilingual and multimodal capabilities enable diverse applications across different languages and use cases, while the comprehensive Llama Stack simplifies development and deployment. Additionally, the strong partner ecosystem and extensive community support ensure continuous improvement and reliable implementation across various platforms.
Llama Monthly Traffic Trends
Llama achieved 1.7M visits with a 69.5% growth in July. The release of Llama 4 with a mixture of experts architecture and multimodal capabilities likely attracted more users, while the LlamaCon AI conference and new API further boosted interest and adoption.
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