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Llama 3.2 Overview: How It Works, Use Cases & More
Meta has recently unveiled Llama 3.2 as the latest addition to its Llama LLM lineup, following the launch of Llama 3.1 405B, a model praised for its cost-effectiveness and cutting-edge open-source capabilities.
Llama 3.2 is available in multilingual, text-only models at 1B and 3B sizes, while the 11B and 90B versions handle both text and image inputs, generating text as output.
Llama 3.2 Overview
Llama 3.2 builds upon the solid foundation of Llama 3.1 405B, introducing key enhancements that make it a more versatile and powerful tool, particularly in edge AI and vision tasks.
Key Features:
1. Model Variants: Choose from four models with 1B, 3B, 11B, or 90B parameters, catering to diverse computational resources and application needs.
2. Multimodal Capabilities: Vision models (11B and 90B parameters) enable image-related tasks, such as:
- Interpreting charts, graphs, and images
- Document analysis
- Visual grounding
3. Local Processing: Lightweight models run locally on edge devices, ensuring:
- Real-time processing
- High data privacy
