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Gemma 3 27b It Qat Bf16

Developed by mlx-community
Gemma 3 27B IT QAT BF16 is a version of the Gemma series of models released by Google. It has undergone quantization-aware training (QAT) and is converted to the BF16 format, suitable for the MLX framework.
Downloads 178
Release Time : 4/15/2025

Model Overview

This model is based on Google's Gemma 3 27B IT model, which has undergone quantization-aware training (QAT) and is converted to the BF16 format, suitable for the MLX framework. It is mainly used for image-text to text tasks.

Model Features

Quantization-aware training (QAT)
The model has undergone quantization-aware training, optimizing its performance in low-precision environments.
BF16 format
The model is converted to the BF16 format, suitable for the MLX framework, improving computational efficiency.
Multilingual support
The model supports multiple languages, suitable for global application scenarios.

Model Capabilities

Image-text generation
Multilingual text processing
Efficient inference in low-precision environments

Use Cases

Image description generation
Automatic image description
Generate detailed text descriptions based on the input image.
Generate accurate and detailed image descriptions.
Multilingual applications
Multilingual image annotation
Generate multilingual text annotations for images.
Support multilingual image annotations.
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