Gemma 3 27B IT QAT 4bit Open-Source Model - Supports Practical Tasks of Image-Text to Text

Gemma 3 27b It Qat 4bit

Developed by mlx-community

Gemma 3 27B IT QAT 4bit is an MLX-format model converted from Google's original model, supporting image-to-text tasks.

Downloads 2,200

Release Time : 4/15/2025

Model Overview

This model is converted from google/gemma-3-27b-it-qat-q4_0-unquantized to the MLX format, primarily for image-to-text tasks.

4-bit Quantization

The model is processed with 4-bit quantization, reducing memory usage and computational resource requirements.

MLX Format

The model is converted to the MLX format for easy use within the MLX framework.

Multilingual Support

Supports text generation and understanding in multiple languages.

Image-to-Text Generation

Multilingual Text Understanding

Text Generation

Image Captioning

Image Content Description

Generates detailed textual descriptions based on input images.

Produces accurate and detailed image description texts.

Multilingual Text Generation

Supports text generation tasks in multiple languages.

Generates fluent and grammatically correct multilingual texts.

Property	Details
Pipeline Tag	image-text-to-text
Library Name	transformers
Base Model	OpenGVLab/InternVL3-1B-Instruct
Base Model Relation	finetune
Datasets	OpenGVLab/MMPR-v1.2
Language	multilingual
Tags	internvl, custom_code, mlx

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