llama-3.2-11b-vision-instruct vs llama-3.1-70b-instruct

The 'meta-llama/llama-3.2-11b-vision-instruct' model is optimized for visual recognition, image reasoning, captioning, and question answering about images. It extends the Llama 3.1 base with a vision adapter and cross-attention layers, and uses fine-tuning for alignment with human preferences. The model supports multiple languages for text-only tasks and English for image-text applications.

Llama 3.1-8B-Instruct is an auto-regressive language model optimized for multilingual dialogue and instruction-following tasks. It employs supervised fine-tuning and reinforcement learning with human feedback to align with human preferences. The model supports a 128k token context and is suitable for generating text and code in multiple languages.