New Meta Llama 3.2 models

Meta released Llama 3.2 models, now available in Stack AI, introducing several key advancements and new capabilities:

Multimodal Vision Models

Llama 3.2 introduces multimodal vision capabilities with two new models:

• 11B parameter model
• 90B parameter model These models can reason about high-resolution images, enabling tasks like image captioning, visual search, and interactive educational tools.

Lightweight Text Models

Two new lightweight text-only models have been introduced:

• 1B parameter model
• 3B parameter model These models are designed for edge and mobile devices, allowing for on-device AI experiences with minimal latency and resource usage.

Key Features

• Expanded Language Support: Improved multilingual capabilities covering 8 languages including English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai.
• Extended Context Length: All Llama 3.2 models support a 128K token context length.
• Improved Efficiency: The models offer reduced latency and improved performance for AI workloads.

Availability and Deployment

The Llama 3.2 models are now accessible in Stack AI via:

• Together AI
• Amazon Bedrock
• Meta dedicated node