# Joint Image-Text Reasoning

Llama 4 Scout is a 17-billion-parameter Mixture of Experts (MoE) model released by Meta, supporting multilingual text and image understanding with a linearized expert module design for PEFT/LoRA compatibility.

Llama 4 Scout is a multimodal large language model developed by Meta, utilizing a mixture of experts architecture that supports both text and image understanding, with a parameter scale of 17 billion (activated) / 109 billion (total).

Llama 4 Scout is a multimodal AI model developed by Meta, featuring a mixture-of-experts architecture, supporting text and image interactions in 12 languages, with 17B active parameters and 109B total parameters.

A Turkish visual-language model specifically designed for multimodal visual instruction-following tasks, capable of processing both visual (image) and text inputs to understand and execute instructions provided in Turkish.

A multimodal model supporting interleaved text-image input/output, based on Chameleon 7B model with enhanced image generation capabilities through the Align-Anything framework