Gemma 3 27b It Qat 6bit
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Gemma 3 27b It Qat 6bit
Developed by mlx-community
This is a quantized version based on the Google Gemma 3 27B model, supporting 6-bit quantization and suitable for image-text to text tasks.
Downloads 110
Release Time : 4/15/2025
Model Overview
This model is converted from Google's Gemma 3 27B model and has undergone quantization processing. It supports multimodal input of images and text and is suitable for tasks such as generating text descriptions.
Model Features
6-bit quantization
The model has undergone 6-bit quantization processing, reducing the computational resource requirements while maintaining high performance.
Multimodal support
Supports the joint input of images and text and can generate text descriptions related to the images.
Efficient inference
Uses the MLX framework for inference, optimizing the running efficiency on Apple hardware.
Model Capabilities
Image description generation
Multimodal text generation
Efficient inference
Use Cases
Image understanding
Image description generation
Input an image, and the model can generate text describing the image.
Generate detailed descriptions related to the image content.
Multimodal interaction
Image Q&A
Combine an image and a text question to generate relevant answers.
Provide accurate answers related to the image content.
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