# Multimodal visual understanding

This is a quantized version of the prithivMLmods/WR30a-Deep-7B-0711 model, supporting multiple languages and suitable for various tasks such as text generation and image caption generation.

An INT8 quantized version based on google/gemma-3-12b-it, supporting visual text input and text output, suitable for efficient inference deployment

Qwen2.5-VL-72B-Instruct is the latest vision - language model in the Qwen family, with powerful visual understanding and video analysis capabilities, suitable for multiple fields such as finance and business.

Qwen2.5-VL-32B-Instruct is the latest vision - language model in the Qwen family, with powerful multimodal understanding and generation capabilities, supporting the interaction of images, videos, and text.

Vision-enhanced version based on soob3123/amoral-gemma3-12B, combining Gemma3-12B large language model with visual encoder for multimodal tasks

The GGUF quantized version of Qwen2-VL-72B-Instruct, supporting multimodal image-text to text conversion, which can be run through LlamaEdge.