Llama 3.2 Instruct

Meta

This is an 11B parameter multimodal instruct model from Meta's Llama 3.2 series, optimized for vision tasks. It balances performance with efficiency, offering faster inference speeds than larger models, and is suitable for conversational and instruction-following scenarios requiring image understanding.

Meta

A lightweight 1B parameter instruction-tuned model from Meta's Llama 3.2 series, optimized for fast inference and deployment on edge devices or resource-constrained environments. It supports text-based tasks and is part of a family that includes larger multimodal models.

Meta

A lightweight instruction-tuned model from the Llama 3.2 family, optimized for fast and efficient on-device or edge deployment. It offers low-cost inference with strong multilingual and conversational capabilities for its size.

Meta

This is the largest multimodal instruction-tuned model in the Meta Llama 3.2 series, featuring 90 billion parameters and support for both image and text inputs. It excels at visual understanding and complex reasoning tasks, making it suitable for sophisticated applications requiring the processing of both images and text.