Llama Features
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 MoreKey Features of Llama
Llama is Meta's family of open-source large language models that offers multiple versions (3.1, 3.2, 3.3) with varying capabilities and sizes. It features multilingual support, multimodal abilities for image understanding, and lightweight versions for mobile/edge devices. The models range from 1B to 405B parameters and can be fine-tuned, distilled and deployed anywhere, making it accessible for both research and commercial purposes.
Multiple Model Variants: Offers different sized models from 1B to 405B parameters, including lightweight versions (1B, 3B), multimodal models (11B, 90B), and the flagship 405B model
Multimodal Capabilities: Llama 3.2 includes vision-enabled models that can understand images, read handwriting, and analyze visual data like charts and graphs
Comprehensive Development Stack: Includes Llama Stack with built-in safety features, tool calling capabilities, and support for multiple programming languages (Python, Node, Kotlin, Swift)
Multilingual Support: Supports numerous languages including Bulgarian, Catalan, Czech, Danish, German, English, Spanish, French, and many others
Use Cases of Llama
Mobile Applications: Lightweight models (1B, 3B) can run on mobile devices for tasks like discussion summarization and calendar management
Enterprise Data Privacy: Companies like Zoom use Llama for AI assistants that maintain data privacy while enhancing productivity through chat and meeting summaries
Document Analysis: Can extract and summarize information from documents containing images, graphs, and charts for business intelligence
Code Development: Used by companies like DoorDash for code review and answering complex technical questions
Pros
Open source and freely available for research and commercial use
Flexible deployment options (on-premise, cloud, or edge devices)
Strong multilingual and multimodal capabilities
Cons
Requires significant computational resources for larger models
May need fine-tuning for specific use cases
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.
View history traffic
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