# Image-text understanding

Gemma 3 27B IT QAT 8bit is an MLX-format model converted from Google's Gemma 3 27B model, supporting image-to-text tasks.

Gemma 3 is a lightweight open-source multimodal model launched by Google, built on Gemini technology, supporting text and image input and generating text output.

Gemma 3 is a series of lightweight open models launched by Google, supporting multimodal input (text and images), with a 128K large context window, suitable for various tasks such as question answering and summarization.

Qwen2.5-VL-7B-Instruct-GPTQ-Int4 is an unofficial GPTQ-Int4 quantized version based on the Qwen2.5-VL-7B-Instruct model, supporting multimodal tasks from image-text to text.

GLM-Edge-V-2B is an image-text-to-text model based on the PyTorch framework, supporting Chinese processing.

This is a version of Microsoft's Florence-2 model fine-tuned for 1 day using the Docmatix dataset (5% of the data) with a learning rate of 1e-6